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  • DAVID MALAN: All right.

  • This is CS50, and this is week 8.

  • So for the past several weeks have we been focusing on first Scratch

  • and then C. And now today do we introduce another language altogether,

  • that of Python.

  • Indeed, even though we've spent all this time talking about C--

  • and hopefully understanding from the ground floor

  • up what's going on inside of a computer and how things work--

  • the reality is that C is not the best language with which

  • to solve a whole lot of problems.

  • |ndeed, as you yourselves might have realized by now,

  • the fact that you have to manipulate sometimes memory at its lowest level--

  • the fact that any time you want to get something real done,

  • like add capacity to a data structure or grow a string,

  • you have to do all of that work yourself--

  • means that C really creates a whole lot of work for the programmer.

  • But ever since C's invention many years ago

  • has the world developed any number of new languages--

  • higher level languages, if you will-- that

  • add on features, that fill in gaps, and generally

  • solve problems more effectively.

  • And so today, we start to do exactly that transition,

  • having motivated this just a week ago with our look at machine learning.

  • Indeed, one of the tools that we use to have that conversation

  • was to introduce snippets of this language, Python,

  • because indeed it is much more of a well-suited tool than something like C.

  • But let's begin this transition now.

  • We, of course, started this conversation many weeks ago

  • when we looked at Scratch.

  • And yet even though you probably found it pretty fun, pretty friendly,

  • and pretty accessible, the reality was that built into Scratch

  • was quite a lot of features, loops, and conditions,

  • and customized functions, and variables, and any number of other features

  • that we then saw the week after in C-- albeit a little more

  • arcanely with more cryptic syntax.

  • But the expressiveness of Scratch remained within C.

  • And indeed, even today, as we transition to another language altogether,

  • you will find that the ideas remain consistent.

  • And indeed, things just get easier in many ways to do.

  • So we transitioned to C. And today we transition to Python.

  • And so let's, just as we did with Scratch,

  • try to convert one language to another, just

  • to emphasize that fundamentally the ideas today are changing, simply

  • the way of expressing it.

  • So this perhaps was the very first program

  • we looked at in C-- arguably the simplest,

  • and yet even then there was quite a bit of overhead.

  • Well, starting today, if you wanted to write a program that does exactly that,

  • voila!

  • In Python, you simply say what you mean.

  • If you want to print "hello world," you literally in a Python program

  • are going to write print open parenthesis quote unquote,

  • "hello world."

  • And you can even omit the semi-colon that might

  • have hung you up so many times since.

  • Now in reality, you'll often see a slightly different paradigm

  • when writing the simplest of programs.

  • You might actually see some mention of main.

  • But it turns out that a main function is not actually required in Python

  • as it is in C. Rather, you can simply write code and just get going with it.

  • And we'll do this hands-on in just a bit.

  • But you'll find that a very common paradigm

  • is to actually have code like this, where you do,

  • in fact, define a function called main.

  • And as we'll soon see through quite a few examples,

  • this is how now in Python, you define a function.

  • You literally say "def" for define, "main"

  • if that's the name of the function, open paren, close paren, and maybe

  • zero or more parameters therein, and then a colon,

  • and an absence of the curly braces-- with which you might now

  • have gotten so familiar.

  • But then indented beneath that, generally four spaces here,

  • would be the code that you want to execute.

  • And we'll come back to this before long.

  • But this is just a common paradigm to ensure

  • that at least one function in a Python program is called by default

  • and by convention, we'll see-- it's called main.

  • But the reality is that the program can now be as simple as this.

  • So let's distill some of the fundamentals

  • that we first saw in Scratch, then saw in C, and now see in Python as well.

  • So Python has functions and it also has something called methods-- but more

  • on that when we talk about object-oriented programming.

  • But a function in C for printing "hello world" might have looked like this.

  • Notice the printf for printing a formatted string.

  • Notice the backslash n that's inside there.

  • Notice the semi-colon.

  • In Python, it's indeed going to be a little simpler.

  • We can distill that to just this.

  • So we're not going to use printf, we're just going to use print.

  • We don't, it turns out, have to have the backslash n in this example.

  • You're going to get that for free.

  • Just by calling print are you going to get a trailing newline printed.

  • And we don't, again, need the semi-colon at the end.

  • Well, what about loops?

  • Well, in Scratch, we had the repeat block.

  • We had the forever block and some other constructs still.

  • In C, we had things like for loops and while loops and do while loops.

  • Well, let's do a couple of conversions.

  • In C, if you wanted do something forever, like print "hello world" again

  • and again and again, never stopping, one per line,

  • you might use a while loop like this.

  • In Python, you're going to do something pretty similar in spirit,

  • but it's going to be formatted a little differently.

  • We still have access to the while keyword.

  • The boolean value true now has to be capitalized with a capital T.

  • And again, instead of using curly braces,

  • you're going to use a colon at the end of this statement

  • and then indent all of the code beneath it that you want to happen cyclically.

  • And again, we've borrowed print "hello world" from before,

  • so no semi-colon necessary there.

  • No f and no backslash n is required.

  • Meanwhile, if we had a for loop in C that we

  • wanted to say print "hello world" 50 times,

  • we might use a fairly common paradigm like this.

  • Well, in Python you can do this in any number of ways.

  • But perhaps one of the most common is to do something like this,

  • to literally say for i in range 50-- more on that in just a moment--

  • and then print "hello world."

  • So this is shorter hand notation.

  • And this is perhaps the first instance where you really see just how pedantic,

  • how much C belabors the point, whereas in Python you

  • just probably with higher frequency just say what you mean.

  • So for implies a looping construct here. i

  • is declaring implicitly a variable that we're about to use.

  • And then what do you want i to be?

  • Well, you want it to be in a range of values from 0 up to but excluding 50.

  • So you want to go from 0 to 49, effectively.

  • And the way you can express that here is as follows.

  • You call this range function, which gives you

  • essentially a sequence of numbers starting at 0, and then 1, and then 2,

  • and then 3-- all the way up to 49.

  • And on each iteration of this loop does i get assigned that value.

  • So functionally, what we've just done is equivalent to what

  • we've just done here, but it does it in a more Pythonic way, if you will.

  • We don't have access to that same for construct

  • as we did in C. We actually have something

  • that's a little easier, once you get used to it, to use.

  • Now how about variables?

  • Well, recall that in Scratch, we had variables, those little orange blocks.

  • And we didn't have to worry about the type.

  • We could just put in numbers or other such things into them.

  • And then in C, we had to start caring about this.

  • But we had booleans, and we had floats, and we

  • had doubles, and chars, and strings, and longs, and a few others still.

  • Well, in Python, we're still going to have a number of data types.

  • But Python is not nearly as strongly-typed, so to speak,

  • whereas in C-- and languages like C and a few others--

  • you have to know and care about and tell the compiler what type of value

  • some variable is.

  • In Python, those types exist.

  • But the language is more loosely-typed, as we say, whereby they have types,

  • but you as the programmer don't have to worry about specifying them,

  • a bit more like our world from Scratch.

  • So whereas in C, we might have declared an integer called i and assigned

  • it an initial value of 0-- we might have used syntax like this.

  • In Python, it's going to be similar in spirit, but a little more succinct.

  • Again, just say what you mean. i gets zero

  • with no semi-colon, no mention of the type.

  • But insofar as Python supports numbers, it's

  • going to realize-- oh, that zero looks like an integer, is an integer.

  • I'm going to define, ultimately, i as of being of type int.

  • Meanwhile we have boolean expressions in Python as well.

  • And these actually translate perfectly.

  • If you have an expression in C testing whether i is less than 50,

  • this is the same thing in Python as well.

  • You literally use the same syntax.

  • If, instead, you want to generally compare two variables, just

  • like we did a few weeks back in C, you might

  • do x less than y-- same exact code in Python as well as in C.

  • Now how about conditions?

  • So conditions are these branching constructs

  • where we can either go this way or maybe this way or another way.

  • So it's the proverbial fork in the road.

  • Well, in C, if you wanted to have an if statement that

  • has three different branches, you might do something like this.

  • And as you may recall, these curly braces

  • are not strictly necessary, simply because we

  • have one line of code nested beneath this if, and one line of code

  • beneath this else if, and one line of code beneath this else.

  • Technically, and you might have seen this in section or other resources,

  • you can actually omit all of these curly braces, which to be fair,

  • makes the code look a little more compact.

  • But the logic is pretty straightforward.

  • And we saw similar yellowish blocks in Scratch.

  • Now in Python, the idea is going to be exactly the same,

  • but some of the syntax is going to be a bit different.

  • So if we want to say, is x less than y, we still say it,

  • but we don't need the parentheses.

  • In fact, if they don't add anything logically,

  • we're just going to start omitting them altogether as unnecessary.

  • We do have the colon, which is necessary at the end of the line.

  • We do have consistent indentation.

  • And those of you who have not necessarily

  • had five for fives for style, realize that in Python the language by design

  • is going to enforce the need for indentation.

  • So in fact, I see myself being a little hypocritical here, as I inconsistently

  • indent this actual code.

  • So this would not actually work properly,

  • because I've used a variable amount of spacing.

  • So Python is not going to like that.

  • And in fact, that's why I made that mistake to make this point here,

  • so that you actually have to conform to using four spaces or some other,

  • but being consistent ultimately.

  • So notice this.

  • This?

  • Not a typo.

  • I didn't make that many mistakes here. "elif"

  • is actually the keyword that we use to express "else if."

  • So it's simply a new keyword that we have in Python,

  • again, ending the same line with the colon.

  • And then here, logically, is the third and final case.

  • else, if it's not less than and it's not greater then,

  • it must in fact be equal to.

  • So we've used print as before to express these three possible outputs.

  • What about things like arrays?

  • Well, Scratch had things called lists that we essentially

  • equated with arrays, even though that was a bit

  • of an oversimplification at the time.

  • Python also has effectively what we've been using and taking

  • for granted now in C, that of arrays.

  • But it turns out, in Python we're going to start calling them lists.

  • And they're so much easier to use.

  • In fact, all of this low-level memory management

  • of having to allocate and reallocate and resize

  • arrays potentially if you want to grow or shrink them-- all of that

  • goes out the window.

  • And indeed, this is a feature you commonly get

  • in a higher-level language like Python.

  • It's a lot of this functionality built into the language,

  • as opposed to you, the programmer, having to implement those

  • low-level details.

  • So, for instance, whereas in C, particularly in a main function,

  • we've been using for some time argv, which is an argument vector or an array

  • of arguments at the command line-- you might access the first of those with

  • argvargv[0]-- we're actually going to have that same syntactic capability.

  • We're going to access, in particular, argv a little differently via an object

  • called sys.

  • So sys.argv, as we'll see, is going to be the syntax.

  • But those square brackets are going to remain

  • and the ideas of arrays, now called lists, are going to remain as well.

  • So what's a little bit different in Python?

  • We're about to see a whole bunch of examples.

  • And indeed we'll port-- so to speak-- convert, or translate some

  • of our previous C examples into Python.

  • But what's the mental model that you need to have for Python?

  • Well, all this time, C, we've described as being compiled.

  • In order to write and use a program in C, you have to write the source code.

  • And you have to save the file in something.c.

  • And then you have to run something like clang something.c in order to output

  • from source code your machine code.

  • And then that machine code, the zeros and ones that the-- Intel, usually--

  • CPU inside understands, can actually be run by double-clicking or doing ./a.out

  • or whatever the program's name actually is.

  • So as you may have realized already, this gets fairly tedious over time.

  • Every time you make a darn change to your code,

  • you have to recompile it with clang-- or with make,

  • more generally-- and then run it.

  • To make a change, compile, run it.

  • Make a change, compile, run it.

  • Wouldn't it be nice if we could reduce those numbers of steps

  • somehow by just eliminating the compilation step?

  • And indeed, a feature you get with a lot of higher-level languages

  • like Python and JavaScript and PHP and Ruby is that they can be interpreted,

  • so to speak.

  • You don't have to worry so much about compiling them yourself

  • and then running resulting machine code.

  • You can just run one command in order to actually run your program.

  • And there's a lot more going on underneath the hood, as we'll see.

  • But ultimately if we had a program that looks like this--

  • simply a function called main as we saw earlier,

  • and we'll see some more examples of this soon--

  • that simply prints out "hello world," it turns out

  • that you can run this program in a couple of different ways.

  • We can either, in the spirit of clang-- whereby in C,

  • we ran clang hello.c and then ./a.out-- in Python,

  • if this program is stored in a file called hello.py--

  • where .py is the common file extension for any programs written in Python--

  • we can distill those two steps, as we'll soon see, into just one.

  • You run a program called Python, which is called the Python interpreter.

  • And what that does underneath the hood for you

  • is it compiles your Python source code into something called byte code,

  • and then proceeds to interpret that byte code top to bottom, left to right.

  • So this is a lower-level implementation detail

  • that we're not going to have to worry about,

  • because indeed one of the features of this kind of language

  • is that you don't need to worry about that.

  • And you don't need that middle step of having to compile your code.

  • But for the curious, what's going to happen underneath the hood is this.

  • If we have a function like main that's simply going to print "hello world"

  • and we do run it through that Python command, what

  • happens underneath the hood is that it gets converted first

  • into something called byte code-- which fairly esoterically looks

  • a little something like this, which you can actually see yourself if you run

  • Python with the appropriate commands.

  • And then what Python the interpreter does

  • is it reads this kind of code-- top to bottom,

  • left to right-- that we the programmers don't have to worry about in order

  • to actually make your program do work.

  • So you'll often hear that Python is an interpreted language,

  • and that kind of is indeed the case.

  • But there can indeed be this compilation step,

  • and it actually depends on the implementation of Python

  • that you're using or even the computer that you're using.

  • And indeed, what we're now starting to see

  • is the dichotomy between what it means to be a language

  • and what it means to be a program, like this thing Python.

  • Python is a language.

  • C is a language.

  • Clang is a compiler.

  • Python is also not just a language, but a program

  • that understands that language, otherwise known as an interpreter.

  • And so anytime you see me starting to run the command "python," as you

  • will too for future problem sets, will you be interpreting the language,

  • the source code that you've written.

  • All right.

  • So let's go ahead now and make a transition in code from the world of C

  • to the world of Python.

  • And to help get us there, let's put back on just temporarily

  • some training wheels of sorts-- a reimplementation

  • of the CS50 library from C to Python, which we've done for you.

  • And we won't look at the lower-level implementation

  • details of how that works.

  • But let me propose that at least for part of today's story,

  • we're going to have access to at least a few functions.

  • These functions are going to be called GetChar, GetFloat, GetInt,

  • and GetString, just like those with which are already familiar.

  • The syntax with which we access them is going

  • to be a little different in this case.

  • By convention, we're going to say cs50.GetChar cs50.GetFloat

  • and so forth, to make clear that these aren't globally available

  • functions that might have even come with the language, because they're not.

  • Rather, these are inside of a module, so to speak,

  • that CS50 wrote that implements exactly that functionality.

  • We'll soon see that Python has at least these data types of bools,

  • true or false, whereby the T, and in turn the F,

  • have to be capitalized in Python, unlike in C;

  • floats, which are going to give us real numbers, floating point

  • values with decimal points; int, which is going to give us an integer;

  • and str or string, which is going to give us the string that we've now

  • come to know and love.

  • But nicely enough, you can start to think again

  • of string as an abstraction, because it's actually

  • what's called a class that has a whole lot of functionality built-in.

  • No longer are we going to have to worry about managing

  • the memory for our strings underneath the hood.

  • Now Python, realize, also comes with a bunch of other features, some of which

  • we'll see today too.

  • You can actually represent complex or imaginary numbers

  • in Python natively in the language itself.

  • You have the notion of lists, as we mentioned before,

  • an analog to C's arrays.

  • We have things called tuples, so if you've ever

  • seen like xy coordinates or any kind of groups of values in the real world,

  • we can implement those too in Python; ranges, which we saw briefly,

  • which whereby you can define a range that starts at some value and ends

  • at some value, which is often helpful when counting from, say 0 to 50;

  • a set, which like in mathematics, allows you to have a collection of objects--

  • and you're not going to have duplicate, but it's

  • going to be very easy to check whether or not something is in that set;

  • and then a dict or dictionary, which is actually

  • going to be really just a hash table.

  • But more on that in just a bit.

  • And these are just some of them that we'll soon see.

  • So let's now rewind in time and take a look

  • back at week one and perhaps this first and simplest example that we ever did,

  • which is this one here called hello.c.

  • And meanwhile, let me go ahead here on the right-hand side

  • and create a new file that I'm going to go ahead and call hello.py.

  • And in here, I'm going to go ahead and write the equivalent Python

  • program to the C program on the left.

  • print "hello world"

  • Done.

  • That is the first of our Python programs.

  • Now how do I run it?

  • There's no clang step.

  • And it's not correct to do just ./hello.py,

  • because inside of this file is just text.

  • It's just my source code.

  • I need to interpret that code somehow.

  • And that's where that program Python comes in.

  • I'm going to simply do python space hello.py--

  • and I don't need the dot slash in this case,

  • because hello.py is assumed to be in the current directory.

  • Hit enter and voila!

  • There's my first Python program.

  • So what I haven't put in here is any mention of main.

  • And just to be clear, we could.

  • Again, a common convention in Python, especially

  • as programs get a little more complicated,

  • is to actually do something like this-- to define a function called

  • main that takes, in this case, no arguments, and then below it,

  • to have this line pretty much copied and pasted.

  • If name equals, equals, underscore, underscore, main, underscore, colon,

  • then call main.

  • So what's actually going on here?

  • Long story short, this line 4 and line 5 is just a quick way of checking,

  • is this file's default name quote unquote "main" with the underscores

  • there?

  • If so, go ahead and just call this function.

  • Now generally, we won't bother writing our programs like this

  • when it is not in fact necessary.

  • But realize, all these two lines of code do

  • is it ensures that if you do have a function called main in your program,

  • it's just going to call it by default. That does not happen automatically.

  • And indeed, if I just wrote hello to py like this, and gave it a main function,

  • gave it a code, like print "hello world,"

  • but did not tell Python to actually call main,

  • I could run the program like this, but nothing's actually going to happen.

  • So keep that in mind as a potential gotcha

  • as you start to write these things yourself.

  • Well, now let's take a look back at another program we had in week 1.

  • This one might have had me doing this in string.c.

  • So in string.c did we introduce the CS50 library in C.

  • And we also introduced from it the GetString function.

  • And to use it, we had to declare a variable, like s, of type string

  • and then assign it the return value of GetString.

  • Well, let's go ahead and do this same program

  • in Python, this time calling it string.py.

  • And I'm going to go ahead now and include the CS50 library.

  • But the syntax for this is a little different in Python.

  • Instead of pound including, you do import cs50.

  • And that's it, no angle brackets, no quotes, no .h, or anything like that.

  • We have pre-installed in CS50 IDE the CS50 library for Python.

  • And that's going to allow me now to do this.

  • s gets cs50.get_string print "hello world"

  • And we'll fill in this blank in just a moment,

  • but let's first see what's going on.

  • On line 3 here, I'm declaring a variable called s on the left.

  • I'm not explicitly mentioning its type, because Python will figure out that it

  • is in fact a string, because the function on the right hand side of this

  • equal sign, cs50.get_string, is going to return to s a value of type string.

  • Now as an aside, in C, we kept calling these things functions.

  • And indeed, they still are.

  • But technically, if you have a function--

  • like get_string in this case-- that's inside of an object, that's

  • inside of what's called a module in Python, like the cs50 module

  • here, now we can start calling get_string as a method, which just

  • means it's a function associated with some kind of container-- in this case,

  • this thing called cs50.

  • Now unfortunately, this program, of course, is not yet correct.

  • If I do python space string.py and then type in my name "David,"

  • it's still just says "hello world."

  • So I need a way of substituting in my name here.

  • And it turns out there's a couple of different ways

  • to do this in Python, some of which are more outdated than others.

  • So long story short, there are at least two major versions

  • of this language called Python now.

  • There's Python 2 and there's Python 3.

  • Now it turns out-- and we didn't really talk about this in the world of C--

  • there's actually different versions of C. We in CS50 have generally

  • been using version C11, which was the 2011 version of C,

  • which just means it's the most recent version that we happen to be using.

  • For the most part, that hadn't mattered in C. But in Python, it actually does.

  • It turns out that the inventor of Python and the community around Python

  • decided over the past several years to change the language in enough ways

  • that they are breaking changes.

  • They're not backwards compatible, which means

  • if you wrote code in version 2 of Python, it might not work in version 3.

  • And unfortunately both versions of the language

  • have been coexisting for some time, such that there's a huge community that

  • still uses Python 2.

  • There's a growing community that uses Python 3.

  • So that we stay at least as current as possible, we for the class' purposes

  • will use Python 3.

  • And for the most part, if you're learning Python for the first time,

  • it's not going to matter.

  • But realize, unfortunately, that when you look up

  • resources on the internet or Google things,

  • you'll very often find older examples that might not necessarily

  • work as intended.

  • So just compare them against what we've done here in class and in section.

  • All right.

  • So with that said, let's go ahead and substitute

  • in my name, which I'm going to do fairly oddly with two curly braces here.

  • And then I'm going to do this.

  • .format open paren, s, close paren.

  • So what's going on here?

  • Well, it turns out that in Python, quote unquote "something"

  • is indeed a string, or technically an object of type str.

  • And it turns out that in Python and in a lot of higher level

  • languages, objects-- as I keep calling them-- have built in functionality.

  • So a string is no longer just a sequence of characters.

  • It's no longer just the address of a byte of memory terminated eventually

  • with backslash 0.

  • There's actually a lot more going on underneath the hood

  • that we don't really have to care about.

  • Because indeed, this is a good thing.

  • We can truly now think of a string in Python

  • as being an abstraction for a sequence of characters.

  • But baked into it, if you will, is a whole bunch

  • of additional functionality.

  • For instance, there is a function that is a method called

  • format that comes with strings now.

  • And it's a little weird to call them in this way.

  • But notice the similarity.

  • Just like the CS50 library, or module, or really object, has inside of it

  • a get_string method or function, so does a string,

  • like quote unquote "whatever" have built inside of it

  • a method or function called format.

  • And as you might have guessed, its purpose in life is just to format

  • the thing to the left.

  • So you get used to this format-- and there's no pun intended--

  • and there's other ways to do this still, but we'll

  • see why this is useful in just a moment.

  • For now, it just looks like a ridiculously unnecessarily complex way

  • of plugging in a name to simply do this.

  • If I type in my name David, and hit enter, now I get "hello David."

  • But trust for now that this is going to be useful as we

  • start to use other file formats still.

  • Now as an aside, so that we've not just removed training wheels and now

  • putting them back on you just for the sake of Python,

  • let me emphasize that we can actually implement this program exactly

  • the same way without using anything CS50 specific using built-in functionality,

  • like the input function in Python version 3.

  • The input function here optionally takes a prompt inside of its parentheses.

  • But if I exclude that, it's just going to ask for some text.

  • And here I can do this now.

  • If I run Python string.py and type in my name, it still works.

  • And if I actually do something like this, name colon space, save the file,

  • and rerun it, now I get a prompt for free.

  • So here, too.

  • Super simple example.

  • But whereas in C, typically we would have

  • had to add that prompt using printf and loop again and again as needed,

  • here we can simply prompt once via the input function

  • and get back a value all at the same time, such as say, Zamyla's name here.

  • So we're only using the CS50 library for today's purposes

  • to show you the equivalence of some of our C examples

  • vis-a-vis these Python examples.

  • But it is by no means necessary, just gives us

  • a bit more functionality that's useful.

  • For instance, if I were to write a program very similar to this one--

  • recall way back when we had this program in C, which simply got int

  • from the user and printed it out-- let me this time

  • create a new file called int.py.

  • And inside of it, import the CS50 library, which

  • also has a function called cs50.getint.

  • And then use this function to simply say, print, quote, unquote, "hello."

  • Open curly brace, closed curly brace, .format i.

  • Save this file.

  • Run Python int.py.

  • I can type in a number like 42.

  • And voila.

  • Now we've used Get Int.

  • But now let's actually format something.

  • You'll recall that in the world of C, we had some issues of imprecision.

  • So recall that this program, whereby I printed the value of 1/10 to 55 decimal

  • places, actually did not yield 0.100000 to infinity,

  • as I was taught in grade school.

  • Rather, we saw some raring of the head of imprecision,

  • whereby floating point values in C were not represented infinitely precisely.

  • In fact, let's do this too.

  • Imprecision.py shall be the name of this file.

  • And you know what?

  • I don't even need to write much code here.

  • I'm just going to go ahead and print out, somehow or other,

  • a value like, say, 1 divided by 10.

  • Let me go ahead and save that.

  • Run Python of imprecision.py.

  • And I do get 0.1.

  • So this is kind of interesting.

  • And in fact, it's revealing a feature of Python.

  • But I don't want to see just one decimal point.

  • I want to do the equivalent of %.55f, as we saw in C.

  • It's almost the same in Python.

  • But instead of using the percent sign, I'm going to use a colon instead.

  • And now notice inside of all of this is just 0.55f preceded by that colon.

  • So it's almost exactly what we did earlier,

  • but with a bit more specificity.

  • And now I see again that ridiculously disappointing imprecision eventually,

  • which we also saw in C.

  • So it turns out in Python, too, only a finite number of bits

  • are used typically to represent a floating point value.

  • So we still have, unfortunately, that issue of imprecision.

  • But what we don't seem to have is something

  • that we stumbled over some weeks ago.

  • And in fact, the reason in the C version I did 1.0 divided by 10.0 was what?

  • Why didn't I just do 1 divided by 10 in the C version?

  • What happened?

  • So as I recall, if you take an int in C and then divide it by an int in C,

  • you get back and int in C. Unfortunately, 1 divided by 10

  • should be 0.1.

  • But that's not an int.

  • That's a floating point value.

  • So we solve this issue of truncation with integers

  • whereby, if you have a value 1 divided by a value 10, both of which are ints,

  • you're going to get back an int.

  • The closest int after throwing away everything

  • after the decimal point, which unfortunately

  • would have been 0 if I didn't define them instead as being floats.

  • But it seems that Python has actually fixed this.

  • In fact, one of the features of Python 3 is to redress exactly this.

  • For many years, we've all had to deal with the fact

  • that an integer divided by an integer is, in fact, an integer and therefore

  • mathematically incorrect, potentially.

  • Well, turns out that's been fixed such that now 1 divided by 10

  • gives you the value that you actually expect-- not, in fact, 0.

  • But what does this actually mean?

  • Let me go ahead and open up an example that I wrote in advance, this one

  • being a translation of what we didn't see some time ago, like this.

  • You'll recall that in the version we wrote weeks back,

  • we just tested out the plus operator in C, the subtraction operator,

  • multiplication, division, and modulo for remainder.

  • Well, it turns out we can do something almost identically in Python

  • here if we look at int.py.

  • But notice that just as I've changed the program slightly

  • to use this CS50 library for Python to get a value

  • x here, to get a value y here.

  • Notice that there is one additional example down here.

  • I'm still demonstrating plus.

  • I'm still demonstrating minus, multiplication, division.

  • And what is this?

  • So it turns out that in Python 3, if you want the old behavior

  • and you actually want to do integer division such that you not only divide

  • but effectively floor the value to the nearest int below it,

  • you can actually use this syntax, which somewhat confusingly,

  • perhaps looks like a comment in C. It is not a comment in Python.

  • In fact, in Python, as you may have gleaned already,

  • comments typically will start with just a single hash symbol.

  • But there's other ways to do comments as well.

  • But notice one other curiosity, too.

  • This program does not print out new lines when prompting the user.

  • In fact, if I run this program, let me go ahead

  • and run this example-- which, again, is called ints.py.

  • Notice that it prompts me for an int x and an int y.

  • And I supply the new lines.

  • They don't get printed for me.

  • And then we get back the answers that we hopefully expect here.

  • But what is this going on here?

  • Well, in the previous examples, I got away with not using /n anymore.

  • On the one hand, that's nice.

  • I don't have to remember this annoying thing that often you

  • might omit accidentally.

  • And therefore, your prompt ends up on the same line.

  • And just things look incorrect.

  • Unfortunately, the price we pay by no longer having to call a /n in order

  • to get a new line from Python's print function is if you don't want that

  • freebie, if you don't want that /n, unfortunately,

  • you're going to have to pass a second argument to the print function

  • in Python that overrides what the default line ending is.

  • So whereas you would be getting by default /n for free,

  • if I instead say comma end equals, quote, unquote, nothing,

  • that means Python, don't use the default /n.

  • Instead, output nothing whatsoever.

  • So it's a tradeoff.

  • And again, much like you might have gleaned from the recent test,

  • there's this theme of tradeoffs.

  • So even in terms of the usability of a language, might there be this tradeoff?

  • If you want one feature, you might have to give up some other altogether.

  • So let's just tie this all together and implement a program together

  • for temperature as follows.

  • Let me go ahead and create a file called temperature.py.

  • And this simply I want to use to convert,

  • say, Fahrenheit to Celsius, to convert two temperatures.

  • I'm going to go ahead for convenience and use the CS library.

  • I'm going to declare a variable called f that's going to become, as we'll see,

  • of type float by using cs50.getfloat.

  • And now I'm going to declare another variable, c, for Celsius, that's

  • going to equal 5 divided by 9 times f minus 32,

  • which I'm pretty sure is the formula for converting Fahrenheit to Celsius.

  • And then I'm going to go ahead and print this,

  • not with printf but with print, as follows.

  • I'm going to have some placeholder there formatting this variable c.

  • And what do I actually want to put inside of here?

  • Well, if I want to go ahead and format it to just one decimal place,

  • I'll use .1f.

  • Let's go ahead and run Python on temperature.py.

  • Enter.

  • Let's type in a temperature like 212, 100 in Celsius.

  • Let's type in the only other temperature I really know, 32, zero in Celsius.

  • So we've done the conversion.

  • And we've not had to worry nearly as much

  • as we did a few weeks ago about all of the issues of integers

  • being truncated when you divide.

  • All right.

  • So let's not focus so much on math and operators.

  • Let's actually do a little bit of logic by way of this example from a while

  • back.

  • We had an example in C called logical.c, which simply did this.

  • It asked me for a char.

  • And it stored it inside of-- and actually, this

  • could have been this-- char c gets get char.

  • And then I compared that char c against Y in capital letter or y lowercase.

  • And if they matched, I printed yes.

  • Otherwise, if it was capital N or lowercase n, I printed no.

  • Else, I just said error.

  • So it's just an arbitrary program that's meant to assess,

  • did I type yes or no effectively by its first letter, capitalized or otherwise?

  • Let's go ahead and port this, translate this to Python as follows.

  • Let me go ahead and create a new file over here.

  • We'll call this logical.py.

  • And I'm going to go ahead as before and import the CS50 library.

  • But again, you could just use Python's built-in input function to do this.

  • But at least this way, I'm guaranteed to get exactly the data type I want.

  • CS50.getchar.

  • And then over here, I'm going to now say conditions.

  • So remember some of the syntax from before.

  • You might be inclined to start saying, if open paren.

  • But we don't need that here.

  • We can instead just say if c equals equals yes, or c equals equals y,

  • then go ahead and print yes.

  • Now, this just seems ridiculous.

  • All these weeks later, finally, you can truly just say what you mean?

  • And indeed, in Python, there's not going to be the same double vertical bar

  • or double ampersand that we've used now for some time to express or or and.

  • Rather, we can really type this a bit more like an English sentence.

  • It's still somewhat cryptic, to be sure, but at least there's less clutter.

  • There's no required parentheses anymore.

  • We don't need the curly braces even.

  • We don't need vertical bars or ampersands.

  • We can just use the word with which we're more familiar in the real world.

  • But notice, too, I've done something subtly different from C.

  • In the C version, to compare this variable c against y

  • in capital letters or lowercase, I use single quotes.

  • Why was that?

  • In C, you actually have a data type called char.

  • And it's fundamentally distinct from a string.

  • So if I'm checking a char in C against some hard coded value,

  • I have to use single quotes to make clear that this is just a single Ascii

  • byte, capital Y or lowercase y.

  • It's not capital Y /0.

  • It's not lowercase y /0.

  • It's just a single byte that I'm trying to compare.

  • But it turns out in Python, there really is no such thing as a single char.

  • If you want a character like capital Y or lowercase y, that's fine.

  • But you're going to get an entire string-- a string with just one

  • character in it plus whatever else is hidden inside

  • of a Python string object.

  • But what that means for us is that we don't have to worry as much about,

  • is this a char?

  • Is this a string?

  • Just compare it in the more intuitive way.

  • In fact, notice moreover what I am not using.

  • In C, when we started to compare strings,

  • we used things like StrComp or string compare.

  • No more.

  • You want to test two strings for equality.

  • Does c from the user actually equal y, capitalized or lowercase?

  • We can just double quote it like this.

  • And in fact, it turns out that it doesn't matter in this context

  • whether I use double quotes or single quotes.

  • Generally in Python, you can actually use either.

  • I'll simply adopt the habit here, and throughout these examples,

  • of using double quotes, if only because they're

  • identical to what we've done in CS50 for C. But realize that both of these

  • are correct.

  • Stylistically, generally just be consistent with respect to yourself.

  • All right.

  • So let's do another example and start to build on the sophistication.

  • Because this isn't all that impressive.

  • And actually, this of course is not yet done.

  • Else if c equals equals N or c equals equals lowercase n,

  • then I'm going to go ahead and print out-- oops.

  • Not with printf but with no.

  • Else, colon, I'm going to print out error.

  • Almost forgot to finish my thought.

  • So that's why the program was so short.

  • Now it's almost as long although, again, if you ignore the curly braces,

  • it's pretty much the same length.

  • Just a little syntactically simpler.

  • All right.

  • So let's build up something a little more

  • interesting in the interest of design.

  • So some weeks ago, we introduced this example in C, the purpose of which,

  • in positive.c, was to implement a program that doesn't just

  • get an int from the user.

  • It gets a positive integer.

  • And this was a useful opportunity way back

  • when to implement a custom function of our own,

  • a feature that we had in Scratch.

  • But it also was a nice way of abstracting away

  • what it means to be get positive int, because we

  • could use get int underneath the hood, but not necessarily care about it

  • thereafter.

  • So in C, recall a few details.

  • We needed, one, not only our header files up top.

  • But we also need this forward declaration.

  • We need this prototype at the top of the file

  • because C is going to read things top to bottom, left to right.

  • So we'd better tell Clang or whatever compiler we're using about the function

  • before we use it in the code itself.

  • I now have an int i getting a positive int.

  • And then I just go ahead and print this out.

  • So the real magic seems to be below the break

  • here whereby we implemented get positive int.

  • And to do this in C, notice a few features.

  • One, we declared it as a function, get positive int, that takes no arguments

  • and returns an integer.

  • Inside of that, we declared a variable n outside the scope of the

  • do while loop because we want n to exist both here and here,

  • as well as when we actually finally return it.

  • And then in this do while loop, we just kept

  • pestering the user so long as he or she gave us a value that's less than one,

  • so non-positive.

  • And then we returned it and printed it.

  • Let's try to now port this to Python.

  • In Python, let me go ahead now and do the following.

  • I'm going to create a new file called positive.py.

  • I'm going to go ahead and import the CS50 library as before.

  • And I'm going to go ahead and define a main function that takes no arguments.

  • We're not going to worry about command line arguments.

  • And indeed, even when we are going to worry about them,

  • we're not going to declare them inside those parentheses anymore.

  • Now I'm going to go ahead and do i get get positive int.

  • And now I'm going to go ahead and print out, with print,

  • the placeholder is a positive integer, closed quotes.

  • And then I'm going to do format i, plugging in that value.

  • So let me shrink the screen here a little bit so that things

  • fit a little better on the Python side.

  • And now that's it for main.

  • No curly braces.

  • I just unindent in order to now start my next thought, which

  • is going to be this.

  • I'm going to go ahead and define another function called get positive int.

  • I don't use void in Python.

  • I simply leave the parentheses empty and add a colon at the end to say,

  • here comes the function's implementation.

  • And it turns out in Python, there isn't this do while construct.

  • So the closest match to do while we did see earlier is just while.

  • And a very common paradigm in Python is to deliberately induce,

  • as you might have in C, an infinite loop capitalizing True

  • because in Python, a bool that's true or false is going to be capitalized.

  • And then inside of this loop, let's go ahead and do the following.

  • Let's go ahead and say, print n is.

  • And now below this, I'm to say n gets get int.

  • But this is inside the CS50 module.

  • So I need to do that there.

  • And then I'm already in an infinite loop.

  • So you know what?

  • If n is greater than or equal to 1, I'm going to go ahead and break.

  • So the logic is a little bit different this time.

  • But I'm breaking out of the loop once I have what I intend.

  • So I need to do one last thing.

  • Once I've broken out of this loop, what do I

  • need to do to complete the implementation of get positive int?

  • I've gotten it.

  • But I need to hand it back to the user.

  • So let me go ahead on this last line and return that value as n.

  • So notice a few distinctions here versus C. Whereas in C a few weeks ago,

  • we had to give some hard thought to the issue of scope.

  • Turns out we don't have to worry about that as much.

  • As soon as I declare n here, it's going to be within scope within this function

  • such that I can return it down here, even though that return statement

  • is not indented and not inside, so to speak, that actual looping construct.

  • Notice too, because we don't have a do while construct,

  • I had to re-implement it using while alone.

  • And I actually could have done that in C.

  • Do while does not give us any fundamental capabilities that we

  • couldn't implement for ourselves if we just implemented it

  • logically a little more like this.

  • We're still printing out n is first.

  • We're then getting an int.

  • We're then checking if it's positive.

  • And if so, we're breaking out and returning.

  • There is one or two bugs in here.

  • And we'll trip over these in just a moment.

  • Let me go ahead now and save this file and then run Python positive.py, Enter.

  • Nothing seemed to happen.

  • Hm.

  • It's not running anymore.

  • I'm back at my $prompt.

  • Let me try running it again.

  • Python positive.py.

  • I mean, there's no error message.

  • And in the world of C, no error message usually meant something's right.

  • And it's right.

  • I've just kind of forgotten a key detail.

  • I've imported CS50 library.

  • I've defined main.

  • I've defined get positive int.

  • But what is different in this world now with Python?

  • Main is not called by default. So if I want to actually call main,

  • I'd better adopt a convention of, for instance, this paradigm.

  • So if name equals equals main, then, with a colon,

  • actually call the main function.

  • And technically, as an aside, this would still work even without this.

  • We could simply put main down here.

  • But let me wave my hand at that detail for now

  • and just emphasize that anytime you want to proactively call

  • main, if you've set up your code in this way, we should indeed do it like this.

  • Let me go ahead now and rerun Python positive.py.

  • n is 42.

  • n is a positive integer.

  • Let me go ahead and run n is, and then 0.

  • Nope.

  • Negative 1.

  • Nope.

  • Foo.

  • Retry.

  • That's the CS50 library kicking in noticing that's a string.

  • Let's try 50.

  • And OK.

  • That worked.

  • Now, the bug I alluded to earlier is just that this looks stupid,

  • having the cursor now on the next line.

  • I can fix this, recall, by adding the second argument whereby the line ending

  • for print is just quote unquote.

  • Let me go ahead and rerun it. n is 42.

  • And now things look a little bit cleaner.

  • Now, at the risk of complicating, let me just point out one other detail.

  • Technically, I could also do this.

  • If you don't need a main function, then why do I have it at all?

  • It stands to reason that I could just write my program like this.

  • Yes, I'm defining an additional function, get positive int.

  • And that's going to work as expected.

  • But technically, if I don't need a main method--

  • and all of the simple examples we've done thus far

  • just have me writing code right in the file itself

  • and then interpreting it at the command line-- I should be able to do this,

  • I would think.

  • So let me try this.

  • Let me go ahead and run again Python positive.py but on this new version.

  • Enter.

  • And now we get the first scary looking error message.

  • So trace back most recent call last.

  • File positive.py line 3, and module i get positive int.

  • Name error name get positive int is not defined.

  • So the first of our Clang-like error messages--

  • this one coming, of course, not from Clang, but from the Python interpreter.

  • And even if the first few lines are indeed pretty cryptic--

  • name error name get positive int is not defined.

  • But yes it is.

  • It's right there at the moment on line 6.

  • So it turns out Python is not all that much smarter than Clang

  • when it comes to reading your code.

  • It too is going to read it top to bottom, left to right.

  • And insofar as I'm trying to call get positive int on line 3,

  • but I'm not defining it until line 6, unacceptable.

  • Now, you might be inclined to fix this like we did in C, whereby

  • you say, all right, well, let me just do get positive int up here

  • maybe, and just put a prototype.

  • But this now looks especially weird.

  • This now looks like a function call, not a prototype,

  • because we're omitting now the return type because there is none.

  • And there's no semicolon here by convention.

  • And indeed, if I do this again, it's the same error.

  • Now the problem is I'm calling it in the wrong place

  • even earlier-- on this line, still line 3, in addition

  • to line 5, which is now there.

  • So how do we fix this?

  • Well, back in C, we didn't technically need prototypes in most cases.

  • We could instead just kind of work around it

  • by moving the code to, say, the top of the file

  • and ignore the problem, really.

  • And now run the program.

  • And now it's back to working.

  • Why is that?

  • Well, the Python interpreter is reading this file top to bottom, left to right.

  • It imports the CS50 library.

  • It defines a new function called get positive int.

  • And then, on lines 11 and 12 now, it uses that function

  • and actually then prints out the return value.

  • But again, this very quickly gets a little messy.

  • Now to find what this program does, I have

  • to look all the way at the bottom of the file just to see my code.

  • It would be nice if the actual logic of the program

  • were at the top of the file, as has been our norm with C, putting main up top.

  • So another good reason for having a main method

  • is just to avoid these kinds of issues.

  • If I rewind all of these changes that we just

  • made and go back to this last version, this avoids all of these issues.

  • Because if you're not calling main until literally the last line in your file,

  • it's going to be defined at that point.

  • So is any functions that it defines.

  • And all of that will be implemented for you.

  • And so now we're good to go.

  • So again, we're complicating the program deliberately,

  • but to proactively address those kinds of issues.

  • Let's introduce one other topic now.

  • Abstraction has been a theme, not only recently in the test,

  • but also in the earliest weeks of the course.

  • Well, you might recall from those early weeks,

  • we had examples like this, where we had an example called cough0.c, whose

  • purpose in life was to do [COUGHING].

  • So three coughs in a row.

  • Now, this was clearly copy paste because all three of these lines

  • are equivalent.

  • But that's fine for now.

  • Let me go ahead and verbatim convert this to Python as closely as I can.

  • And cough0.py turns out it's pretty easy.

  • Print quote unquote cough.

  • And then I can really demonstrate how poorly

  • designed this is by literally copying and pasting those three lines.

  • I don't need standard IO.h.

  • I don't need the CS50 library.

  • I don't need main.

  • We know-- because now, if I just do Python cough0.py, Enter, cough, cough,

  • cough.

  • All right.

  • But we improved upon this example in C. Recall

  • that in C, we then looked at cough1, which at least used a loop.

  • So how do I do this in Python?

  • Let me go ahead and save this now as cough1.py.

  • And let me try to borrow some logic from earlier.

  • Let me do for i in.

  • And you know what?

  • I'm going to do range 3.

  • We had 50 before.

  • But I don't need it to iterate that many times.

  • Now let me just go ahead and print cough three times.

  • And now run Python cough1.py, Enter.

  • Cough, cough, cough.

  • All right.

  • But recall in the world of C, we improved further in cough2.c

  • as follows.

  • We abstracted away, so to speak, what it means

  • to be coughing by wrapping it in its own function called cough.

  • Because we don't really care that cough is implemented with printf.

  • We just like the idea, the semantics, if you will,

  • of having a new custom function called cough.

  • So let's go ahead and try to do that in Python.

  • Let me go over here and create a new file called cough2.py.

  • And in here, let me go ahead and define main as before.

  • Inside of this, let me do for i in range 3.

  • And let me go ahead here and call proactively cough,

  • even though it doesn't yet exist.

  • Let me go down here now and implement cough in such a way

  • that it simply prints cough.

  • Let me go ahead now and do Python cough2.py.

  • Wait.

  • Something's wrong.

  • What's going to happen?

  • Nothing.

  • I need to actually call the function.

  • And again, the paradigm that we'll adopt is this.

  • The name of the file is the default name of quote, unquote, __main__.

  • Then let me go ahead and call main.

  • So now if I run this again, voila.

  • Cough, cough, cough.

  • Notice again no prototype.

  • No imports from CS50 because we don't need it.

  • But let's improve upon this further.

  • In C, we took this one step further and then parameterized cough

  • so that we could cough three times but not have to implement the loop

  • ourselves in main.

  • We just want to punt, so to speak, or defer

  • to the actual implementation of cough to cough as many times as we want.

  • So if I want to do that here, let me go ahead and save a file called cough3.py.

  • And let me go ahead and again define main to just do a cough, but this time

  • three times, actually giving it an argument.

  • And then we go ahead and define cough again,

  • but not with open paren, closeed paren, but with an actual variable called n.

  • Here too, I don't need its data type.

  • Python will figure that out for me.

  • And then here, I can do for i in range of not 3

  • anymore, but n, because that's a local argument that's been passed in.

  • And now let me go ahead and print cough that many times.

  • Down here, let me go ahead and do my if.

  • The name of this file is the default name of __main.

  • Then go ahead and call main.

  • So now let me run this, cough3.py.

  • And I get cough, cough, cough.

  • And you recall we kind of took this to an extreme a few weeks ago.

  • Suppose I now want to implement the notion of sneezing.

  • Well, sneezing was deliberately introduced,

  • not so much because it's all that useful, per se, as a function,

  • but because it allowed me to factor out some common code.

  • It would be a little lazy of me if, to implement sneeze,

  • I went ahead and did something like this, whereby I literally

  • copy and paste the code, call this sneeze,

  • and then say "achoo" here instead.

  • Because look how similar these two functions are.

  • I mean, they're literally identical except for the words

  • being used therein.

  • The lines of code logically are the same.

  • So instead of that, let me go ahead and port this as I did in C as follows.

  • Let me go ahead and save this as cough4.py and in here go ahead

  • and define main.

  • And main now is going to call cough three times.

  • And it's going to call sneeze three times, which

  • just means I need to implement them.

  • So let me go ahead and define cough as before, taking in an integer n,

  • we can call it.

  • But we could call it anything we want.

  • But now you know what?

  • Let me generalize this and just have it call a say function

  • with the word we want it to say, and how many times.

  • Meanwhile, let me go ahead and define sneeze

  • as taking a similar int that simply says achoo, n that many times.

  • And now I just have to define say.

  • And before in C, on the left hand side here, took two arguments.

  • We can do that as well in Python.

  • We can simply say a word and n without worrying about their data type

  • and declaring them.

  • And now in here, I need to do this for i in range of n.

  • Let me go ahead and print word.

  • Now technically, if I really wanted to be consistent,

  • I could do print quote, unquote, curly braces, format word.

  • But I literally gain nothing in this case from doing that.

  • So it's a lot cleaner and a lot more readable

  • just to literally print the word.

  • You don't strictly need that placeholder.

  • Then down here, let's do if the name of the file equals equals, main as before.

  • Call main.

  • Voila.

  • Let's go ahead now and do Python of cough4.py.

  • Enter.

  • Cough, cough, cough.

  • Achoo, achoo, achoo.

  • So it's kind of an exercise in futility in the end

  • because the program still doesn't do anything that's

  • all that fundamentally interesting.

  • But notice how quickly we've moved from just printing

  • something like hello world just a little bit ago to defining

  • our own main function that calls two functions that are parameterized,

  • each of which in turn calls some other function that

  • takes multiple parameters.

  • So we're already very quickly building up

  • these building blocks, even faster than we might have done

  • in the earliest weeks of the class.

  • All right.

  • So that's essentially week one that we've now converted to Python.

  • Recall now in week two of CS50, we started to look at strings.

  • We looked at command line arguments.

  • So let's now, with relatively fewer examples,

  • compare and contrast what we did then to what we'll do now

  • and see what new features we have.

  • Recall indeed that in week two, we implemented strlen ourselves.

  • Before we even started taking it for granted

  • that there is a strlen function that returns the length of a string,

  • recall that we implemented it as follows.

  • We got a string from the user.

  • We initialized some counting variable, like n to 0.

  • And then while that location in the string using,

  • our square bracket notation, was not equal to the special sentinel value,

  • /0, do n plus plus, thereby incrementing n,

  • and then eventually print out what the value of n is.

  • So this, though, assumed in week two an understanding

  • of what's going on underneath the hood.

  • In Python, we're not going to want to worry about what's

  • going on underneath the hood.

  • Indeed, this whole principle of abstraction-- and more

  • specifically, encapsulation-- whereby, these implementation details

  • are deliberately hidden from us, is now something we can embrace as a feature.

  • No longer do we need to worry as much about how things are implemented,

  • but just that they are implemented.

  • So increasingly will we start to rely on publicly available documentation

  • and on examples online that use features of code,

  • as opposed to worrying as much about how they're

  • implemented underneath the hood.

  • So toward that end, let me go ahead and implement the equivalent

  • of this program in Python in a manner that would be appropriate here

  • with strlen.py.

  • I'm going to go ahead and import the CS50 library so that I can

  • get a string like this with get string.

  • And then I'm going to print the length of s.

  • So recall, of course, in C, we could have done this with strlen.

  • In the world of Python, we're not going to use strlen, but rather len,

  • or L-E-N for length, which it turns out can

  • be used on any numbers of different variables and objects.

  • It can be used on strings.

  • It can be used on lists and other data structures still.

  • So for now, know that this is how we might print the length of a string.

  • So let's go ahead and try this.

  • Python of strlen.py.

  • Type in something like foo, which is three letters.

  • And indeed, that's what we get back.

  • Well, now let's actually take a look at the fact that we do still,

  • nonetheless, have this notion of Ascii underneath the hood going

  • on, although not necessarily Ascii but Unicode,

  • which is a far more powerful encoding of symbols

  • so that we can have far more characters than just, say, 128, or even 256.

  • Let me go ahead and create the following example.

  • We'll call this Ascii0.py so that it lines up to the example

  • we did called Ascii0.c a few weeks back.

  • And let me go ahead and do the following.

  • For i in the range of 65, 65 plus 26.

  • So if I want to start iterating at 65, and then

  • iterate ultimately over 26 characters like we did a few weeks ago,

  • I can actually do this.

  • I can say something like, something is something,

  • specifically if I format two values.

  • I essentially want to format i and i again.

  • But the first of these I want to actually print as a character.

  • So it turns out that if you have in a variable, like i,

  • a decimal value, an integer, that corresponds underneath the hood

  • to an Ascii value, or really Unicode value, which is a superset,

  • you can call the CHR function, which is going to convert it

  • to its character equivalent.

  • If I go ahead now and run Python of Ascii0.py, I've made a mistake.

  • And you'll notice even CS50 IDE noticed this.

  • And I didn't notice CS50 IDE.

  • If I hover over that little x, it's yelling at me, invalid syntax.

  • Because CS50 IDE actually understands Python even more than it does C. So

  • I can actually fix this with that additional in keyword, which I forgot.

  • And now I can see the exact same tabular output which,

  • again, prints out capital A as 65.

  • So not necessarily a useful program other than to show us this equivalence.

  • Well, what about arguments at the command line?

  • Let me go ahead and implement a program similar in spirit to argv0.c a while

  • back, this time calling it .py.

  • And in here, let me go ahead and do this.

  • If-- and actually, let me go ahead and import sys first.

  • So sys is a system module that has a lot of lower level functionality,

  • among them command line arguments-- which, again, we do not

  • declare as being part of main.

  • They're globally accessible, if you will.

  • I'm going to go ahead and do this.

  • If the number of command line arguments in that list there equals equals 2,

  • then I'm going to go ahead and print out hello placeholder.

  • And then format inside of that sys.argv bracket 1.

  • So if there are two command line arguments-- something,

  • something-- I'm going to print the second of those

  • because the first of them is going to be the program's name or the file's name.

  • Else, I'm going to go ahead and just print out generically hello world.

  • Let me go ahead and save that.

  • Run Python argv0.py.

  • Enter.

  • And voila.

  • We have hello world.

  • Now, as an aside-- and just so that you've

  • seen it-- there are other ways of outputting strings because frankly,

  • this very quickly gets tedious if all you're trying to do

  • is plug in some value.

  • Generally, for consistency, I'll still do it this way.

  • But we could have done something like this.

  • And those of you who took, for instance, AP Computer Science A

  • in high school, or a Java class more generally,

  • might know that the plus operator is sometimes used

  • as the concatenation operator to take one string and another

  • and jam them together.

  • And indeed, we could do this as follows.

  • I could now do Python of argv0.py and get the same result.

  • But you'll find generally that using the format approach, as I originally did,

  • tends to be a little more sustainable once your code gets more complex.

  • Let's do something else.

  • Let's go ahead and print out a whole bunch of command line arguments,

  • just as we did a few weeks ago, this time in argv1.py, which

  • again corresponds to our earlier code.

  • And here, I'm going to go ahead and import the sys module again and do

  • for i in range.

  • And now this time, I'm going to do the length of sys.argv which, to be clear,

  • is going to give me the number of arguments in the argument vector.

  • And that list, called argv, which sounds awfully

  • equivalent to what special variable that we kept using in C?

  • If you recall, not just argv, but argc?

  • The latter doesn't exist in Python.

  • But we can query for it by just asking Python, what

  • is the length of the argument vector?

  • That means what is argc?

  • So I'm going to go ahead now and just print out sys.argv bracket i.

  • And if you think through these lines of code,

  • it would seem that this is going to iterate from 0 on up to the number

  • of arguments in that argv vector, or list, and then print out each of them

  • in turn.

  • So let me go ahead and run Python of argv1.py.

  • Enter.

  • And indeed, it just printed out one thing, the name of the program itself.

  • What if I did foo, bar, [INAUDIBLE], some arbitrary words, and hit Enter?

  • Now it's going to print all of those as well.

  • So this is just printing out, as we did a few weeks ago,

  • all of the words in argv.

  • But we can do something a little neater now as follows.

  • Suppose that in, argv2.py, just like a few weeks ago in argv2.c,

  • I wanted to print out all of the characters

  • in all of the words of the command line arguments.

  • I'm going to go ahead and import sys again.

  • And now I'm going to do for s in sys.argv.

  • So here's a new approach altogether.

  • And then do for c in s.

  • And then in here, I'm going to do print c,

  • and then eventually, just print a new line.

  • So now things are getting a little magical, or frankly,

  • just a little convenient.

  • I'm still importing the sys module so that I

  • have access to argv in the first place.

  • And it turns out that insofar as sys.argv is just a list-- like in C,

  • it's similar in spirit to an array-- I don't

  • have to do the for loop with the int i and index into the array using bracket

  • i.

  • I can get from Python's for keyword this beautiful feature, whereby

  • if I just say, much like the ranges I've been using it with thus far,

  • for s in sys.argv, this is going to assign s so the first string in argv.

  • Then on the next iteration, to the next string in argv.

  • Then on the next iteration, the next string in argv, each time updating s.

  • Meanwhile, on line 4 here, which is indented

  • as part of being inside this outermost loop, for c in s.

  • Well, it turns out that Python treats strings similar in spirit to C,

  • as sequences of characters.

  • But rather than put the burden on you to declare an int called i or j

  • or whatever, and then iterate over bracket i or bracket

  • j in each of these variables, you can just tell Python,

  • for each character in the string, for c-- and this could

  • have been any variable name altogether in the current argument from argv--

  • go ahead and just print out C.

  • So again, here we see another hint of the ease with which you can write code

  • in a language like Python without having to worry nearly as much

  • about low level implementation details about random access and square bracket

  • notation and indexing into these arrays effectively.

  • You can just allow the language to hand you more of the data

  • that you care about.

  • So let's run Python of argv2.py.

  • Enter.

  • And it looks a little weird.

  • But if I increase the screen, you'll see that it printed one character per line,

  • exactly those command line arguments.

  • And if I do foo, you'll see argv2.py space

  • F-O-O. It's doing the exact same thing.

  • So not a useful program.

  • But it indeed is allowing us to actually access those characters and strings

  • still.

  • So let's just open up an example I wrote in advance to demonstrate

  • one other point altogether.

  • If I go into week two's folder here from this week and go into exit.py,

  • you'll see this example.

  • It doesn't do all that much, this program.

  • But it does seem to check this.

  • On line 4, it checks the length of sys.argv.

  • And if it doesn't equal 2, it yells at the user.

  • Missing command line argument.

  • And then it just exits.

  • So just like in C, we have the ability to return an exit code to the shell,

  • to your prompt, not using return, as we did in C.

  • You still use return in Python, but to return from methods or functions.

  • In Python, when you want to exit the program altogether,

  • because there is not necessarily a main function,

  • you just call exit and then pass inside of its parentheses the number

  • that you want to return-- the convention, as always,

  • being 0 for success and anything nonzero for failure.

  • And so that's why I'm arbitrarily, but conventionally,

  • returning 1 here to the prompt.

  • I'm exiting with an exit status code or exit code of 1

  • to indicate as much here.

  • Otherwise, I'm just printing out whatever the word is.

  • So if I run this program, and I go into today's second directory,

  • and I run Python of exit.py, missing command line argument.

  • And you might recall this trick from a few weeks back.

  • If you, at your prompt, run echo$?, it will show you the exit code of the most

  • recently run program.

  • So if I run this correctly this time with, for instance, my name,

  • and it says hello David.

  • And now I do echo$?, I should see a 0.

  • So just a lower level way of seeing what's going on underneath the hood.

  • Well, let's go ahead and do another example demonstrating

  • what also has changed for the better.

  • Let me go ahead and now do this.

  • In a file called compare1.py, which will line up,

  • you'll find, with compare1.c a few weeks back,

  • I'm going to go ahead and import the CSV library.

  • I'm going to go ahead and print out just quote,

  • unquote s, and then kill the new line.

  • And then use s get CS50.getstring.

  • And then let me do this once more with a t variable,

  • also getting rid of the new line, just for aesthetics.

  • And then t gets CS50.getstring.

  • And then let me go ahead and do a sanity check.

  • It turns out-- and you would only know this from reading our source code

  • or the documentation therefore-- turns out that get string

  • could return a special value.

  • It's not null because Python does not have pointers.

  • We don't have to worry about addresses anymore, per se.

  • But it does have special sentinel values like this one.

  • If s does not equal None with a capital N, and t does not equal None,

  • indeed None is a special value similar in spirit to null or similar

  • in spirit to false, but different from both.

  • It's not a pointer, as it is in C. And it's not a Boolean.

  • It's sort of the absence of a value.

  • And indeed we, in designing the CS50 library for Python,

  • decided that if something goes wrong with

  • get string-- maybe the computer or the interpreter is indeed out of memory,

  • even though there is no notion of allocating memory per se.

  • But something goes wrong inside of get string for whatever reason,

  • these calls could return None.

  • So I'm just for good measure checking that s is not None and t

  • is not None so that I can indeed trust that they're indeed strings,

  • so that I can now do something like this.

  • If s equals equals t, then print same.

  • Else print different.

  • And you will recall, perhaps, that when we did this in C some time ago,

  • this did not work.

  • In the world of C, line 10 would not have worked as intended

  • because it would have been comparing two pointers, two memory addresses.

  • And insofar as in C, get string returns two distinct addresses.

  • Even if the user types the same word as we did a few weeks back,

  • it's going to use the heap via malloc to give you two separate strings somewhere

  • in memory whose first byte's address is going to be different.

  • And so s and t in the world of C were not the same.

  • But that was never really all that useful.

  • I didn't really care about those memory addresses.

  • I wanted to compare the strings.

  • And I had to resort back in the day to STR compare.

  • Well, as we've already seen, you don't need

  • to worry as much about that in Python.

  • If you want to compare s and t, just do it using equals equals as always.

  • So that when I run this program now and type in Python compare1.py,

  • something like Zamaila, something like Zamaila.

  • Those are indeed the same.

  • But if I instead type Zamaila and then my own name,

  • those are indeed different.

  • And so this is as expected whereby, if I type two strings that

  • happen to be the same, and they're both retrieved by two different calls

  • to get string, they're nonetheless going to be compared

  • as expected for equality.

  • Let's do one other thing to demonstrate one other point of Python.

  • Let me go ahead and open up a new file.

  • I'm going to call this copy1.py.

  • And you'll see that it lines up in spirit

  • with copy1.c from a few weeks back.

  • Let me import the CS50 module.

  • Let me go ahead and print out s with new newline ending.

  • Let me go ahead and do CS50.getstring as before.

  • And let me go ahead and do a sanity check.

  • If s equals None, then let's just exit because this program's not

  • going to be useful if something bad happened underneath the hood.

  • And now let me go ahead and capitalize this thing, as I tried weeks ago.

  • Let me go ahead and do t get s.capitalize.

  • And then print out s, and then a placeholder

  • that I can format with s itself.

  • Then let me go ahead and print out t colon, and a placeholder, and then

  • format t itself.

  • And then let me go ahead, just for good measure,

  • and exit with 0, even though that will be assumed to be the default.

  • So what's going to happen here?

  • Let me run this program, Python copy1.py.

  • Type in something like Zamaila in all lowercase.

  • Enter.

  • And you'll see that it's now uppercase just t, and not s.

  • Let me go ahead and do another example with Andy's name.

  • And we've indeed capitalized Andy's name.

  • So what's going on?

  • And what's with all these dots?

  • The only time we ever really got into dots in C

  • was when we had structures or pointers thereto.

  • But it turns out that Python is an object oriented programming

  • language in the sense that it has support

  • for objects, full-fledged objects, really built into it.

  • C just has structs.

  • And structs, by definition, contain typically only data.

  • They will contain fields like dorm or house or name,

  • or whatever it is we're implementing, like a student structure in C.

  • But it turns out that in Python and in other object-oriented language,

  • you can have inside of structures objects, as they're more

  • properly called, not only pieces of data, as we'll eventually see,

  • but also built-in functionality.

  • So the syntax, to be fair, has been very weird when we look at strings.

  • But if you trust me when I say a string, or an STR variable, is an object,

  • that object has inside of it somewhere underneath the hood

  • a sequence of characters, whatever I've typed.

  • But it also has apparently built-in functionality.

  • Among that functionality is a function, a.k.a.

  • a method called format.

  • Similarly do string objects in Python have

  • a built-in function called capitalize that do exactly as you would expect.

  • So in C, we had toupper.

  • But that operated on just a single character.

  • And the burden was entirely on me to figure out what character in a string

  • I wanted to make uppercase.

  • In Python, this built-in capitalize function for the string class

  • will do exactly what we intend, uppercasing

  • the first letter in a string and leaving everything else untouched.

  • But it turns out that in Python, a string

  • is immutable, which is to say that once it's created, you can't change it.

  • And this is not the case in C.

  • In C, when we used getstring, or scanf, or malloc,

  • or created strings on the stack by allocating them effectively as arrays,

  • if we allocated memory on the heap or the stack and put strings there,

  • we could change those strings thereafter.

  • And in fact, the earliest version of this program in C

  • was buggy insofar as it accidentally capitalized both s and t,

  • even though we only intended to capitalize t.

  • But it works right out of the box with Python, at least as implemented here.

  • Because it turns out once s exists as a string, that's it.

  • That's the sequence of characters you're going to get.

  • You can't go in and change just one of them.

  • And so what's really happening here when I

  • call s.capitalize is this function is designed underneath the hood

  • by the authors of Python to give you a copy of s

  • but quickly change the first letter to a capital letter,

  • and then return the resulting copy.

  • All of that happens for me.

  • I do not need to use malloc.

  • I do not need to do STR copy.

  • I don't need to iterate over the characters.

  • All of this we get for free, so to speak, with the language.

  • Let's look now at just where else we can go.

  • One of the biggest problems we ran into, recall, in C

  • was near the end of our focus on it.

  • And we started tripping over issues like memory.

  • You'll recall in C, we had this example here, noswap.c.

  • And this program was pretty arbitrary.

  • It allocated an x and a y int and assigned

  • them the values 1 and 2 respectively.

  • It claimed to swap them by calling the swap function.

  • But then even though it said it swapped them,

  • it swapped only copies of those variables.

  • And indeed, the swap function, if we scroll down below the break here,

  • you'll see that it declares two parameters, a and b,

  • that by nature of how C argument passing happens become copies of x and y

  • such that a and b do get successfully swapped,

  • but there's no permanent effect on the caller's variables

  • in main's stack frame because that was fundamentally flawed.

  • And so we fundamentally fix that with this version here.

  • In swap.c some weeks ago, we instead started

  • passing an x and y by reference, by their addresses

  • using the ampersand operator to get their address in memory,

  • passing in effectively pointers, as declared here with the star operator.

  • And then we had to use the star operator inside here of swap

  • to dereference those pointers, those addresses, and to go to them

  • and actually change or get the values at those addresses.

  • So this worked.

  • But let me go ahead now and implement in Python something very similar.

  • I've already written this one up in advance in noswap.py.

  • And it looks like the following.

  • I define main up top.

  • I'm not going to bother using the CS50 library

  • because everything is hard coded here.

  • x and y shall be 1 and 2 respectively.

  • Don't need to mention int again because it's loosely tied to this language.

  • Now I'm going to go ahead and print x is this,

  • y is this, swapping dot, dot, dot, passing in x and y.

  • And then I do what's here swapped.

  • I claim it's swapped.

  • I print them out again.

  • Swap seems to be implemented.

  • I'm a little nervous about this.

  • This seems to really be just an implementation of literally noswap.c.

  • So let's try to confirm as much.

  • Let me go ahead now and go into this fourth week's directory in Python

  • noswap.py, Enter.

  • Indeed, it doesn't seem to work.

  • So it would seem that Python 2 passes these things in by reference.

  • So how do I fix this?

  • Unfortunately, the fix isn't as-- and this is kind of an understatement--

  • easy as it was in C to just change these arguments to be by reference,

  • and then use pointers to actually dereference them

  • and actually do the actual swap because we don't have pointers in Python.

  • So in some way, here's another tradeoff that's been thematic.

  • We were getting all these new features.

  • Things are relatively simpler syntactically,

  • even though it will take some getting used to, by all means,

  • and some practice.

  • But now we've given up that ability to look underneath the hood and change

  • what's going on underneath the hood.

  • So pointers were scary.

  • And pointers were hard.

  • And managing memory is risky because you risk seg faults,

  • and you might have memory leaks, and all of the headaches

  • you might have had with psets four or five or any number of the challenges we

  • had involving addresses.

  • You really start to bang your head against the wall,

  • potentially, because you have access to that level of detail.

  • Unfortunately, as soon as it's taken away,

  • we would seem to lose the ability to solve certain problems.

  • And indeed, in this case, can't really solve it in the same way.

  • There are multiple ways we could address this.

  • But let me propose one that has the advantage of introducing

  • a tiny piece of syntax that's pretty cool to see it the first time.

  • So in swap.py, let me go ahead and declare x is 1 and y is 2.

  • Let me go ahead and print out x is this placeholder, and then plug in x there.

  • And then go ahead and print out y is this placeholder,

  • and then plug in this placeholder there.

  • And now let me go ahead and say print swapping dot, dot, dot.

  • And then we'll come back to this to do.

  • And now I'm going to go ahead and say print swapped boldly,

  • and then print x is this placeholder, x, and then print y

  • is this placeholder, and then format y.

  • So all that remains to do is the interesting part.

  • So it turns out we could do something like this.

  • We could say temp gets x, and then x gets y, and y gets temp.

  • And that would work.

  • It's a little inelegant because now, the beauty

  • of having a swap function before in C was

  • that we were factoring out that logic.

  • We could use it in multiple places.

  • Made the code a little more readable.

  • And now, in the middle of this beautiful print statement,

  • I've got this mess here.

  • But it turns out that's the right spirit, at least

  • to keeping the solution simple.

  • But notice what you can do in Python.

  • It turns out that you can actually swap two things at once.

  • And it's because of a feature that's implicit in the syntax here.

  • These are actually data types on each side of the equals sign.

  • It turns out that Python supports not just lists,

  • which we've generally known thus far as arrays in C,

  • but it also supports, again, tuples, a data structure that

  • allows you a comma separated list of values,

  • the burden of which is entirely on you to remember what comes first,

  • what comes last, what's in the middle.

  • But by way of doing this-- and I can do this in a couple of different ways.

  • And I can do it not even just with tuples.

  • You can think of this a little more like this, like an xy coordinates,

  • Cartesian plane and so forth.

  • You can actually consider this as happening really simultaneously,

  • but letting the language, Python and its interpreter,

  • figure out how to do that switcheroo without losing

  • one or both of the variables in the process.

  • It doesn't matter to us the low level implementation

  • detail that that might actually require some kind of temporary storage.

  • That is now a feature of the language that we

  • get for free if we actually want to assign two values simultaneously.

  • And this is actually powerful for that same reason.

  • It turns out that if you have some function called

  • foo that returns a single value, you could do something like this

  • to get back that value, as we've been doing all throughout these examples.

  • But it turns out foo could potentially return two values, which

  • you could assign like this.

  • Or foo could return three values like this.

  • If foo was indeed implemented as returning a tuple,

  • a comma separated list of values like this.

  • So you don't want to take this necessarily to an extreme.

  • But in C, you might recall that we did not

  • have this capability of being able to return multiple values.

  • And that is now an option, although there's alternatives

  • to needing to do that altogether.

  • So we're almost caught up in time in Python vis-a-vis where we started

  • and where we ended with C. But let's introduce

  • one other feature of Python that allows us to translate something

  • from C as well.

  • Recall that we introduced structures some time ago.

  • And indeed, I'm going to go ahead here and save

  • a file called structs0.py, which is a bit misleading because these

  • aren't technically structures.

  • They're objects, as I'm about to use.

  • But we'll clarify that in a moment.

  • Let me go ahead here and import CS50.

  • And let me also import, using slightly different syntax, this.

  • In a moment, I'm going to create on the fly my own Python module, my own class,

  • if you will, called student, inside of which

  • is going to be a class called Student capital S.

  • And first, let's assume that it exists so that I can just

  • take on faith that it will soon exist.

  • And let me give myself a list of students like this, an empty array,

  • if you will, as implied by the square bracket notation here.

  • So new syntax.

  • But what's nice is it's pretty readable.

  • On the left is the variable's name, assigning

  • what's on the right hand side.

  • We've seen square brackets for arrays or lists more generally.

  • So this just means give me an empty list and assign it to students.

  • Unlike strings, a list in Python is mutable, changeable.

  • So this does not mean that students is forever going to be an empty list.

  • We can add and append things to it, much like a stack or a queue or a linked

  • list more generally.

  • So now let me go ahead and do this.

  • For i in range three-- I'm just going to arbitrarily do this three times, just

  • like we did a few weeks ago.

  • I'm going to in here now print out print name with no line ending, just

  • to keep things pretty.

  • Let me go ahead then and use CS50.getstring

  • to actually get a student's name.

  • Then let me say hey, give me your dorm with no line ending,

  • just to keep it clean.

  • And then use dorm CS50 get string.

  • And then down here, let me do students.append students name dorm.

  • So this is new now.

  • And we'll come back to this in just a moment.

  • Then after this loop, let's just for good measure do this.

  • For students in students, print the following placeholder

  • is in placeholder.

  • Then format student.name, student.dorm.

  • So now things are getting a little more interesting.

  • I have now done a few things in this program.

  • I have imported something called a student, which

  • doesn't yet exist but will in a moment.

  • I have declared a variable, or a list, specifically,

  • called students, and assigned it an empty list.

  • Then I'm iterating three times arbitrarily

  • just so we have a demo to play with saying, give me your name,

  • give me your dorm, and then this.

  • So students is an object, as we say, a structure in C.

  • But now we call them objects, inside of which is going to be data.

  • There's not much data now.

  • It's just an empty list.

  • But it turns out, if you read the documentation for Python,

  • you'll see that a list has some built-in functions, or methods, as

  • well-- not just data, but also functionality-- one of which

  • is called append.

  • And if we read the documentation, we see we

  • can pass in an argument to append that is a variable or a value

  • that we want to append to the list, add to the end of it.

  • And we'll see in a moment what this syntax means.

  • It turns out this is similar in spirit to using malloc in C to malloc a struct

  • and then put inside of it two values, name and dorm.

  • But what's nice about Python and languages like PHP and Ruby

  • and Java, all of which support something similar in spirit,

  • is this single line gives me a new student object, inside of which

  • is that student's name and dorm as strings.

  • Later, outside of this loop, just for good measure,

  • we reiterate over this list as follows.

  • For student in students, well, what is this doing?

  • This, again, is an iterable list.

  • So not irritable, iterable list, whereby you can iterate over this list,

  • calling each element inside of it temporarily student,

  • as in our previous use of for.

  • And then just print so-and-so is in this dorm,

  • formatting those two values using the same dot notation as we used in C.

  • So we need a students object.

  • Otherwise, what's going to happen?

  • Let me go ahead and try to run this incorrectly as follows.

  • Python struct0.py.

  • Enter.

  • Import error.

  • No module named student.

  • So creating a Python module, it turns out, is super simple.

  • I create a file called student.py.

  • I now have a module called Student.

  • Of course, there's nothing in there.

  • So I need to actually populate it.

  • So let me go ahead and do this.

  • And we'll come back to this in the future with a bit more complexity.

  • But for now, let me introduce, with a bit of a wave

  • of the hand, the following.

  • If I want to create a structure called Student, technically in Python,

  • it's called a class.

  • And that class should be Student, the convention of which

  • is to call your structures in Python, your classes,

  • with a capital letter for the first letter.

  • And now I'm going to define a standard method called

  • init that takes as its first argument a parameter that's conventionally

  • called self, and then any number of other arguments that I want to pass it.

  • And then inside here, I'm going to do self.name

  • gets name and self.dorm gets dorm.

  • So this is perhaps the most new-looking piece of code

  • that we've seen thus far in Python.

  • And we'll explain it just at a high level for now.

  • But in line 1, we're saying, hey Python, give me a new structure.

  • Give me a class called Student, capital S. Line 2, hey Python, inside

  • of this class, there shall be a method, a function,

  • that's called init for initialization.

  • And it's going to take by convention three arguments, the first of which

  • you just have to do, let's say, for now, the second and third

  • and beyond of which are completely up to you.

  • Name and dorm is what I chose.

  • And what's neat is this.

  • Lines 3 and 4 mean whatever the user passes into me as a student's name

  • and dorm when this class is instantiated, allocated as an object,

  • go ahead and remember their name and dorm inside of these instance variables

  • called self.name and self.dorm.

  • So if you think of the scenario as follows,

  • in struct0.py, we had this line of code toward the end.

  • Not only were we appending something to the list called Students.

  • We had this highlighted portion of code.

  • Capital Student, open paren, name, dorm, closed paren.

  • That is similar in spirit, again, to calling malloc in C

  • and automatically, all in one breath, installing inside of it

  • two values, name and dorm.

  • So if this is similar in spirit to malloc, you can think of this line

  • here, this highlighted portion, as creating somewhere in memory,

  • in your computer-- doesn't matter where-- a structure like my fist here,

  • passing into it name and dorm.

  • And then what happens on those two lines of code in student.py, lines 3 and 4,

  • is if name and dorm are the two values that were passed in,

  • they get stored inside of this structure and saved permanently

  • in what are called instance variables inside of self.

  • Self just refers to the object that has been allocated.

  • So we'll come back to that before long.

  • But just take on faith for now that init has to be the name of the method

  • that you use.

  • Self is conventionally used as the first argument there.

  • And this just ensures that we're remembering a student's

  • name and his or her dorm as well.

  • So if I now run this, you'll see I'm prompted for David.

  • And I'll say Mather and Zamaila and Courier and Rob and Kirkland.

  • Enter.

  • And the program doesn't do all that much.

  • But it manipulates and it creates these objects,

  • and ultimately does something useful with them.

  • But it throws the information away.

  • And so for our command line examples here,

  • let's do one final example that improves upon that as follows.

  • Let me go ahead and create a new file called structs1.py, similar in spirit

  • to what we did some time ago in structs1.c.

  • I'm going to start with that same code from before.

  • And I'm going to keep around student.py.

  • But instead just printing it, you know what?

  • I'm going to get rid of the printing of these names.

  • I'm going instead do this.

  • File gets open students.csv, w, quote, unquote.

  • Writer gets csv.writer file for student in students, just as before.

  • Writer.writerow student.name, student.dorm, file.close.

  • Definitely a mouthful, and it's not perfect yet.

  • But let's try to glean what I'm doing.

  • Open turns out is similar in spirit to fopen from C.

  • And it takes two arguments just like in C, which is wonderful,

  • the name of the file to open and the mode

  • in which you want to open it-- writing, w, or reading, r.

  • And there's a few other options too.

  • This just returns to me a reference to that file somehow.

  • And indeed, all this time I've been describing variables

  • as just that, variables.

  • But technically speaking, all of these variables-- x and y, and now file and s

  • and t and others-- are references or symbols that

  • have been bound to objects in memory.

  • Which is just to say that you'll see online, especially

  • when reading up on Python, that there's certain terminology that's

  • associated with the language.

  • But at the end of the day, the ideas are no different fundamentally

  • from what we've been doing in Scratch and in C. These are just a variable

  • called file.

  • Here's another variable called writer.

  • And it is storing the return value of CSV.writer file.

  • So what's this?

  • I only knew this by reading up on the documentation

  • because I was curious in Python, how do I actually save my data inside

  • of a CSV, Comma Separated Values file?

  • This is sort of a very super simple Excel

  • file that just uses commas to separate what are effectively

  • different columns in a file.

  • So my goal here is to ultimately print David, Mather, Enter.

  • Zamaila, Courier, Enter.

  • Rob, Kirkland, Enter.

  • And that's it.

  • And save it permanently on disk, if you will,

  • so that we actually keep this information around.

  • So what does this do for me?

  • It turns out that Python comes with a built-in feature called the CSV

  • Module, inside of which is a whole bunch of functionality, some of which

  • is this one here, a class called writer that

  • takes one argument when you instantiate it called file.

  • So this just means, hey Python, give me a writer for CSVs.

  • Give me an object whose purpose in life is to write CSV files to hard drives.

  • Iterate over my students in students.

  • And then just from reading the documentation,

  • I know that I can call writer.writerow, which is a bit hard to say quickly

  • several times, but writerow.

  • And then it takes as an argument a tuple in this case.

  • That's why there's the double parentheses.

  • A tuple, a comma separated list of values, which in this case

  • I want to be student.name and student.dorm.

  • Then I close the file at the end.

  • So the net result here is kind of underwhelming to run.

  • And indeed, we're about to see a bug.

  • Python structs1.py.

  • Enter.

  • David Mather, Zamaila Courier, Rob Kirkland.

  • Damn it.

  • After all that input, then there's an error.

  • But this is actually illustrative of another feature, or design aspect,

  • of Python.

  • I'm not necessarily going to get compilation errors.

  • I might actually get runtime logical errors.

  • If I have made a mistake in my program that

  • isn't something super simple or dumb or frustrating,

  • like leaving off a parenthesis or a misplaced comma,

  • or something like that that's syntactically invalid,

  • Python might not notice that my program is buggy.

  • Because if it scans my code top to bottom, left to right

  • and doesn't notice some glaring syntax issue,

  • it might proceed to just run the program for me, that is, interpret the program.

  • Only once the Python interpreter gets to a line of code that syntactically

  • is correct but confuses it might it bail out with a so-called runtime error,

  • or more properly, throw an exception.

  • This one's saying name CSV is not defined.

  • And indeed, if I scroll up, the first time

  • I mention CSV was indeed on this line with the x, undefined variable CSV.

  • You know what?

  • I messed up.

  • I should have imported the CSV module.

  • And I would only know that from the documentation.

  • But I can infer as much from the fact that CSV does not exist.

  • Let's try this one more time.

  • David Mather, Zamaila Courier, Rob Kirkland, and Enter.

  • Nothing seems to happen.

  • But notice students.csv has now appeared.

  • And indeed, I have David, Mather, Zamaila, Courier, Rob, Kirkland.

  • I have my own tiny little database.

  • It's not a database in a particularly fancy sense.

  • I can't query it.

  • I can't change it very easily.

  • I have to just rewrite the whole thing out essentially.

  • But I have now persisted this data.

  • And never before in these Python examples

  • have we kept any of the information around

  • until now, much like the equivalent C version.

  • So guess what else we can do with Python.

  • Not only can we re implement all of week's 1

  • through 5 examples from C in Python.

  • So can we implement the entirety of our recent spell checker.

  • For instance, you may recall that the staff solution for speller

  • was run a little something as follows at the prompt, whereby

  • we specify optionally a dictionary.

  • But I'm going to go ahead and use the default.

  • And then I can spell check something like AustinPowers.text,

  • which, in the CS50 staff solution, which this one happens to use a try,

  • took me a total of 0.05 seconds to spell check a pretty

  • big dictionary with 19,190 words.

  • But it took me a long time to implement that try.

  • It probably took you quite a while to implement

  • your try, your hash table, your linked list, or other data structure.

  • But let me propose that today, we have in our speller

  • directory a reimplementation of speller in Python.

  • And this was the program you didn't need to worry too much

  • about in C. Speller.c we asked you to read through and understand.

  • But you didn't need to change it.

  • And so indeed today, we won't change it either.

  • But I'm going to go ahead and create a file called dictionary.py,

  • inside of which is going to be my very own implementation of this dictionary.

  • And it turns out in Python, we can implement speller as follows.

  • Class dictionary, thereby giving me really the equivalent of a structure,

  • much like we have in C. And I'm going to go ahead inside of this

  • and declare a function that's by default, and convention called init.

  • That takes in one argument, in this case called self.

  • And I'm going to simply do self.words gets set where set, it turns out,

  • is a function in Python that returns to me

  • an empty set, a collection of values that facilitate, generally,

  • on the average case, constant time lookups of whether something's there,

  • and constant time insertions of putting something into that set,

  • much like a mathematical set.

  • I'm now going to go ahead and implement my load function in Python as follows,

  • whereby I take in self as an argument as before, by convention, but then also

  • the name of the file to use as my dictionary.

  • And similar to C, I'm going to use a function like fopen,

  • but this time called open, where I simply pass in dictionary and quote,

  • unquote, r.

  • And then for each line in that file, I am going to access the set called words

  • and add to it the line I've just encountered after stripping off

  • the trailing new line.

  • Then I am going to close the file.

  • And I'm going to return true.

  • And I'm going to have finished my homework for load.

  • With just those few lines of code, can we

  • reimplement the entirety of the load function

  • for problem set 5 speller dictionary in Python itself?

  • Now the check function, maybe that's where the price is paid.

  • Maybe the tradeoff is check's going to be really, really scary.

  • So I'm going to implement this one as a method inside here too,

  • taking in a word that we want to spellcheck.

  • And I'm going to return word.lower in self.words.

  • And that's it for the check method.

  • What is this doing?

  • This is saying, return, true or false, whether the lowercase version

  • of the given word is in my own word set.

  • So self.words just refers to this container that's initially empty

  • but that has just been populated by the load method

  • by adding in all of the words that we loaded from that file.

  • So this true or false is implemented as follows.

  • Lowercase the given word and check whether it's in that set,

  • and return true or false in just one line.

  • Well, all right.

  • Maybe size is going to be where the price is paid.

  • Maybe size is what's really broken here.

  • So let's go ahead and implement size.

  • And let me return self.words.

  • All right.

  • That one's perhaps not a surprise since size in C is also pretty easy.

  • But what about unload?

  • Well, how about in unload, we similarly declare it.

  • Well, there's nothing to unload because Python does

  • all of your memory management for you.

  • So even though you might be allocating more and more memory

  • as you use this set, there's nothing to actually unload

  • because the interpreter will do that for you.

  • So it turns out that all of these conversions from C to Python

  • are useful in part because clearly, you can

  • implement the same kinds of programs that we've

  • been implementing for a week.

  • And frankly, in many cases, more easily and quicker, or with fewer lines

  • of code, or in a way that's just much less painful to write.

  • All of that low level stuff where you're implementing hash tables or trees

  • or tries is wonderfully illustrative of how those things work, and hopefully

  • gives you a true understanding of what's going on underneath the hood.

  • But my god.

  • If you just wanted to store words in a dictionary, if you

  • had to implement dozens of lines of code to implement your own try,

  • or your own hash table or linked list, programming very quickly

  • devolves into an incredibly mundane, frustrating profession.

  • But in this case do we begin to see hints of other languages,

  • Python among them, that allow us to solve the same problems much more

  • quickly, much more efficiently, much more effectively, much more

  • pleasurably, such that now we can start to stand

  • on the shoulders of even more people who have come before us,

  • start building on not only this language,

  • but on other APIs and libraries.

  • And indeed, that's now why we introduced Python.

  • No longer in the weeks to come are we going

  • to be focusing on the command line alone, but rather

  • on web-based interfaces.

  • Indeed, in Python do we have the ability to so much more easily than in C

  • write web-based software, actual websites that

  • are dynamic, not just built out of HTML and CSS,

  • but that have shopping carts and use databases and send emails or SMSes,

  • or any number of dynamic features, all of which, to be fair,

  • we could implement in C. But it would be the most painful experience

  • in the world to implement a dynamic website with all

  • of those features in a lower level language like C. But with Python can

  • we start to do this so much more readily.

  • So how do we go about using Python to generate websites?

  • A couple of weeks ago when we first looked at HTML and CSS

  • and talked more generally about HTTP, we hard coded everything we wrote.

  • We wrote HTML in our text editor.

  • We wrote CSS in our text editor.

  • We saved those files.

  • And then we loaded them using our browser.

  • But there was nothing dynamic about it.

  • There was no even hello world program that dynamically took my name.

  • But we did discuss, in the context of HTTP,

  • this ability of web browsers and web servers

  • to use HTML parameters in order to transmit inputs in between the two.

  • For instance, we talked about get, whereby

  • you can pass in these key value pairs via the get string, the query string,

  • in the URL itself.

  • We talked a bit about post, whereby you could

  • transmit more sensitive information, or bigger things like photographs

  • and passwords and confidential information,

  • via post, which is still passing in key value pairs from browser to server.

  • But we didn't at the time have any ability

  • to actually read or parse those inputs and produce dynamic outputs.

  • In fact, the most dynamic we got a couple of weeks ago

  • was with those search examples whereby I reimplemented the front end

  • interface of Google, sort of our very low budget version of Google's website.

  • And then I just completely punted to their back end

  • using the action attribute of https://www.google.com/search,

  • pretty much deferring entirely to Google all of the interesting, dynamic output

  • for my search results.

  • So today, we won't generate those search results ourselves.

  • But we will give ourselves, now that we have a language and the environment

  • with which to handle those inputs, we will give ourselves

  • the capability to start creating websites more like that.

  • In fact, ultimately, the goal of creating web-based software

  • is to dynamically output stuff like this.

  • This, of course, is the simplest web page

  • we could perhaps implement in HTML.

  • But it's entirely hard coded.

  • Wouldn't it be nice if we could minimally, for instance,

  • add someone's name dynamically to that output

  • so that it actually interacts with them in some way?

  • And you can, of course, extrapolate from that kind of feature

  • to things like Gmail, where it's constantly,

  • dynamically interacting with your keyboard input

  • based on who you put in the To field, what you put in the subject line.

  • The website's going to do and behave differently in order to send that mail.

  • Facebook Messenger or Gchat or any number of tools

  • are constantly taking web-based input from users

  • and producing dynamically output.

  • But how do we get at that input and output?

  • Especially since at the end of the day, this is all HTML boils down to.

  • Inside of those virtual envelopes, so to speak,

  • going between client and server or browser and server,

  • are requests like these from the client.

  • Get me the home page using this version of HTML

  • specifically from this host name here.

  • And then maybe some other additional detail and maybe some parameters

  • in that URL string.

  • Meanwhile, the server is going to respond similarly

  • with something pretty simple-- a textual response, some HTML headers like this

  • saying the content type is text HTML, if it indeed is, followed by the HTML

  • that the server has generated.

  • So it would seem that we need the ability, when

  • writing web-based software, to be able to,

  • one, dynamically generate HTML based on who the user is

  • or what he or she wants to see dynamically.

  • So we have the ability to write HTML, of course, per two weeks ago.

  • But we haven't yet printed it or generated it dynamically.

  • And we're also going to need a feature whereby, somehow or other,

  • any HTTP parameters coming to us from browsers

  • can be interpreted so that if a user is trying to add something

  • to their shopping cart, we can actually see what it is they've requested

  • to add to their shopping cart.

  • So it turns out we need just one mental model, if you will,

  • for this world of the web.

  • Back in the day, this mental model didn't necessarily exist.

  • But over time, we humans have come up with certain paradigms, or design

  • patterns, so to speak, that guide common implementations of web-based software

  • or mobile software.

  • Because the world realized over time that they adopted certain habits.

  • Or there are certain convenient ways to implement software.

  • And one such method, or one such design pattern,

  • is generally called MVC, Model View Controller.

  • And in this world, the controller is really

  • where the brains of your program or your website are-- all of the logic.

  • The logging in of users, logging out of users,

  • adding things to a shopping cart, removing things, checking out,

  • billing them, all of that sort of business logic so to speak.

  • And that exists in one or more files, typically,

  • on a web server that collectively are called the controller.

  • So it's not a technical term per se.

  • It's just a descriptor for what your code is ultimately doing.

  • View, meanwhile, the V in MVC, refers to the aesthetics of your site

  • typically-- the templates that you use for HTML,

  • or the CSS files that you use in order to style your website.

  • In other words, while the thinking, all of the code logic

  • might be embedded in files called your controller,

  • all of the sort of fluffier but still important stuff.

  • The aesthetic stuff, might be in the view side of things.

  • And then lastly is the M in MVC, Model, which is where your data typically

  • comes from.

  • So we just did an example using a CSV file.

  • That's a model of some sort.

  • It's a super simple model.

  • But a model is just a general term describing where your data lives

  • and how you access it.

  • And before long, we're going to use a fancier

  • version of a model, an actual database server,

  • that we can query and insert into and delete from and edit,

  • and any number of other features as well.

  • But for now, today, let's just focus on the C and the V in MVC as follows.

  • I'm going to go ahead and open up CS50 IDE, where we have

  • a simple program here called serve.py.

  • And this is perhaps among the lowest level

  • ways we could go about implementing our own web server.

  • So again, CS50 IDE comes with its own web server.

  • And Google has its own web server.

  • And Facebook has its own web server.

  • And many of them are using, like us, open source software, freely available

  • software that's super popular.

  • But suppose we want to implement our own web

  • server that listens on TCP port 80 for HTTP requests

  • for those virtual envelopes.

  • In Python, we might do it as follows.

  • And a lot of the words on the screen might be new.

  • But the syntax is fundamentally the same as what we've been focusing on today.

  • So from some module that comes with Python called HTTP server imports

  • a class called base HTTP request handler and HTTP server.

  • So it turns out that Python comes with some built-in web server functionality.

  • It's not all that user friendly, as we'll see.

  • We have to do a lot of work to use it.

  • And the names are fairly verbose unto themselves.

  • But it comes with the ability, as a language,

  • to let you implement a web server, a piece of software

  • that when you run it just starts listening on the internet,

  • on your computer's IP address on TCP port 80 for incoming HTTP requests

  • and then responds to them as you see fit.

  • So we've defined a class here called HTTP server request

  • handler that descends from this parent class, so to speak.

  • But more on that in the days to come.

  • On line 7 here, I'm defining a method conventionally called do Get,

  • where Get is capitalized, thereby making super clear that this

  • is the function, the method, that's going

  • to be called if our server receives a request via HTTP

  • get, as opposed to post or something else.

  • Self is, again, the convention when implementing a class for methods

  • to take in a reference to themselves, so to speak.

  • A reference to the containing object will just call self.

  • Now inside here-- and you'd only know this from having read the documentation

  • or having done this before-- notice that we're going

  • to do a few things in this web server.

  • Super simple.

  • We're going to, no matter what, just send a response

  • code, a status code of 200.

  • Everything is always OK in this server.

  • It's not realistic.

  • Things could certainly go wrong, especially if the user asks us

  • for something that we don't have.

  • A 404 for might be more appropriate.

  • But we're going to keep the example simple and no matter what,

  • send 200, OK.

  • Meanwhile, we're also going to send another HTTP header using this Python

  • call here of self.sendheaader.

  • And to be clear, these features-- send response, send headers,

  • soon end headers-- are methods or functions

  • that come with Python's built-in web server

  • that we are simply extending the capabilities of at the moment.

  • What is the header that we want to send?

  • Content type colon text HTML.

  • So we're going to behave exactly like that canonical example I put up again

  • a moment ago.

  • Lasly, we're going to send a super simple message.

  • We're simply going to write essentially to the socket connection

  • that my server has with the browser, the internet connection that we have.

  • I'm going to write the following bytes.

  • Hello, world.

  • And I'm going to use an encoding called UTF-8,

  • which is a way of encoding Unicode, which, again,

  • is an encoding scheme that's a superset of Ascii,

  • as we discussed back in week 0.

  • That's it.

  • Return.

  • Now, this just defines a class, my own customisation of a web server.

  • Python comes with a web server built in-- specifically,

  • that class called base HTTP request handler.

  • And I'm simply extending its capabilities

  • to specifically return hello world with content type text HTML

  • and with a status code of 200.

  • That wouldn't necessarily be the case by default--

  • certainly not that generic message.

  • But I have to start this server.

  • And I could add a main function or implement this in any number of ways.

  • But I'm going to keep it simple.

  • At the bottom of the file, I'm going to configure the server here,

  • hard coding port 8080 to be the value of this variable.

  • A server address here is going to be a tuple.

  • And you would only know this, again, from the documentation.

  • This tuple, this comma separated list of values,

  • is going to be this weird-looking IP address, and then

  • that same value, 8080.

  • And this weird-looking at IP addresses is a convention.

  • If you specify that you want a web server to listen,

  • to talk on IP address 0.0.0.0, that's generally

  • shorthand notation for saying, listen on all possible network interfaces that

  • are built into my computer, whether it's CS50 IDE, or an actual server,

  • or a Mac, or a PC.

  • This is sort of like the wildcard saying,

  • just listen on any one of your ethernet cables

  • or Wi-Fi connections for incoming requests, but specifically on this port

  • 8080.

  • This last line here essentially instantiates an HTTP server,

  • passing into it our request handler, which is that customization of behavior

  • that I described earlier.

  • And then lastly, nicely enough, there's a method,

  • a function built into this Python server called serve forever,

  • which just turns the server on and never turns it off

  • unless I forcibly kill it with, say, Control-C.

  • So let's go ahead and actually run this.

  • I'm going to go ahead into the folder containing serve.py

  • and run Python serve.py, Enter.

  • And nothing seems to happen just yet.

  • But I'm going to go ahead and open up another tab in CS50 IDE.

  • And I'm going to go to http://127.0.0.0:8080.

  • So why this IP address?

  • Even though this is a little inconsistent with what I just said,

  • technically, 0.0.0.0 is not your actual IP address.

  • It's, again, just kind of a wildcard string

  • that represents all of your possible network interfaces.

  • Every computer on the internet, generally,

  • has a local host address-- not its public IP,

  • not even a private IP that's in your own home

  • network behind your own firewall-- but 127.0.0.1

  • represents your own local host address, an IP address

  • that by default every computer in the interest

  • has insofar as it refers to itself.

  • So we all have generally, in our own Macs and PCs, or CS50 IDEs,

  • access to this IP address, which just refers to myself.

  • And port 8080 after the colon.

  • Normally, using a browser, you don't specify the port number

  • by saying colon 80 or colon 443.

  • But in this case, because it's a nonstandard port, what

  • I want to do with Google Chrome here is talk to my computer on this local host

  • address on that port.

  • Now, if you play along at home using CS50 IDE on the web,

  • your address will actually be different.

  • I simply happen to be using a local version of CS50 IDE on my own Mac

  • here so that I don't have to combat with any Wi-Fi issues.

  • But the idea is going to be exactly the same.

  • Whatever your workspace's IP address is or host name,

  • the English version of it, colon 8080, is what you will type.

  • Let me hit Enter.

  • But it's not all that interesting.

  • Indeed, if I view the page source, as we have in the past, this is not HTML.

  • I've been super lazy right now, simply outputting a promise via that header

  • that I'm outputting a content type of text HTML.

  • But this isn't really HTML.

  • This is just text.

  • And so this really isn't a full-fledged web server.

  • It's certainly not dynamic in that I've literally hard coded hello world.

  • So let's do something a little better, a little more pleasurable to write.

  • And for that, we're actually going to need something called a framework.

  • And so it turns out that writing code like this-- totally possible,

  • and folks did it for some time.

  • But eventually did people realize, you know what?

  • We're doing the same kinds of lines of code again and again.

  • This isn't particularly fun to implement the website or the product

  • that I'm working on.

  • Let me actually start to borrow ideas from past projects

  • into current projects.

  • And thus were born things called frameworks,

  • collections of code written by other people that are often

  • free or open source that you can then use in your own projects

  • to make your life easier.

  • And indeed, this is thematic.

  • Especially as we get farther and farther from C and lower level

  • languages toward Python, and eventually JavaScript and beyond,

  • you'll find that it's thematic for people

  • to sort of stand again on each other's shoulders

  • and use past problems solved to solve future problems more quickly.

  • So what do I mean by that?

  • Well, one of the very first things I did way back in the day

  • when learning web programming myself, after having taken CS50 and CS51, is I

  • taught myself a language called Perl.

  • It's not really in vogue these days, though still around and still

  • under development.

  • But it's similar in spirit to what we're talking about today in Python.

  • And I happened to use that language back in the day

  • to implement a website, the first ever website for the freshman

  • intramural sports program.

  • So all the freshmen or first years who want

  • to participate in sports just for fun, back in my day,

  • we would register for sports by walking across Harvard Yard, uphill

  • both ways in the snow, and then slide a piece of paper

  • under one of the proctor's or RA's doors saying,

  • I want to register for volleyball, or soccer, or whatever it was.

  • So this was an opportunity ripe for disruption with computers.

  • So I taught myself web programming back in the day

  • and volunteered to make this website for the group

  • so that students like myself could just-- well,

  • maybe students not like myself could register for sports online.

  • And so what did I actually do?

  • Well, we won't look at the Perl version.

  • We'll look instead at a Python version using a very popular framework,

  • freely available code called Flask.

  • So Flask is technically a micro framework

  • in that it doesn't have a huge number of features.

  • But it's got relatively few features that people really

  • seem to lately that helps you get worked on faster.

  • And by that I mean this.

  • This is how I might implement the simplest of websites for the freshman

  • intramural sports program.

  • Now, admittedly, it's lacking in quite a few features.

  • But let's see how it works.

  • And indeed, with some of our future web-based projects in CS50,

  • will we build upon Flask and borrow these same ideas.

  • So you'll notice that from Flask, am I importing

  • a whole bunch of potential features, none

  • of which I want to implement myself, all of which, pretty much,

  • I would have had to implement myself if I used that base HTTP web server that

  • comes with Python itself.

  • So Flask is built on top of that built-in functionality.

  • How does it work?

  • Once I've imported this module's components and classes,

  • I'm going to go ahead and instantiate, so

  • to speak, an application of type Flask, passing in the name of this file.

  • So this is just a special symbol, __name,

  • that we've seen before in the context of main that just refers to this file.

  • So this says, hey Python, give me a Flask application based on this file.

  • So now notice on line 5, a slightly new syntax,

  • something we'll call a decorator.

  • And it's a one liner in this case that simply provides Python with a hint

  • that the following method should be called anytime the user

  • requests a particular route.

  • A route, typically, is something like /foo or /bar or /search or the like.

  • So a route is like the path that you are requesting on the web server,

  • slash generally being the default.

  • So this is saying to Python, anytime the user requests

  • slash, the default home page, go ahead and call this index method.

  • Technically, we could have called anything.

  • But this is a good convention.

  • And return what?

  • The rendering of this template.

  • In other words, don't just return a few bytes, hello world.

  • Return this whole HTML file.

  • But it's a template in the sense that we can plug in values, as we'll soon see.

  • Meanwhile, hey Python, when you see a request for /register,

  • not using get by default, but by using post,

  • which might happen in a form submission, go ahead and call this method called

  • Register.

  • And just as a sanity check, let's do this.

  • If the request that we have received has a form in it

  • that has a Name input in it that's blank, equals quote, unquote,

  • or the request we've received has a form whose Dorm field is blank,

  • then return this template instead, failure.html.

  • Otherwise, return success.

  • So in other words, if the user has submitted a form to register for sports

  • and he or she has not given us their name or their dorm,

  • let's render this failure message.

  • Don't let them register because we don't even know who they are

  • or where they're from.

  • So we're going to display failure.html.

  • Otherwise, by default, we'll display success.html.

  • So let's see what this looks like.

  • I'm going to go ahead and hit Control-C to get out of the old web server.

  • I'm going to go into this Frosh IMs directory.

  • And this time, instead of running Python,

  • I'm instead going to run Flask, Run.

  • And then I'm going to be just super specific here.

  • I'm going to say the host I want to use is every possible interface.

  • And then the port I'm going to use is 8080,

  • though you can configure these in different ways.

  • And I'm going to hit Enter.

  • A whole bunch of stuff scrolled on the screen.

  • But the essence of it is that serving Flask App application.

  • Debug mode and CS50 IDE is turned on by default at the moment.

  • And now we're ready to go.

  • If I now go back to my web page and reload, I'm still at the same URL.

  • But a different web server is now responding to my requests.

  • And this is sort of in the spirit of 1996, '97, whenever I implemented this.

  • This is what the web looked like.

  • And in fact, this might be a little worse.

  • So now, suppose I'm kind of in a rush.

  • I just want to register for sports.

  • I don't think to provide my name or dorm.

  • Let me hit Register.

  • And I'm yelled at.

  • You must provide your name and dorm.

  • And notice, where am I?

  • If I look at the URL, I'm at that same IP and port

  • number, which will vary based on where you are in the world and what service

  • you're using, like CS50 IDE.

  • But I'm at /register, that route.

  • All right.

  • Let me go back.

  • Let me go ahead and give them my name at least.

  • David.

  • Register.

  • And voila.

  • I am being yelled at again because even though I provided my name,

  • I've not provided my dorm still.

  • So this seems to be a fairly lightweight error message.

  • But let me cooperate.

  • Let me provide both David and say Matthews, and click Register.

  • Aha.

  • You are registered.

  • Well, not really.

  • So why not really?

  • Well, that's because this particular website has no database yet.

  • There's no place to store the data.

  • There's not even a CSV file.

  • There's no email functionality.

  • All it's being used for today is to demonstrate

  • how we can check for the presence of form submissions

  • properly to make sure the user is actually providing those values.

  • So if I actually go back into CS50 IDE, let's go into this Frosh IMs directory,

  • inside if which is a Templates directory,

  • and take a look at Failure, the first thing that we saw.

  • Now, this admittedly looks a bit cryptic.

  • But for a moment, notice that it's extending something called layout.html.

  • And actually, it looks like there's these special syntax here.

  • So it turns out that Flask supports a templating language.

  • It's not HTML.

  • It's not CSS.

  • It's not even Python.

  • It's sort of a mini language unto itself,

  • a templating language that gives you simple instructions and features that

  • allow you to dynamically plug in values to your HTML.

  • So they don't have to hard code everything.

  • And so this is saying, hey Flask, go and get

  • the template file called layout.html, and then

  • plug in this title, and then this body.

  • So block title here.

  • Notice the funky syntax, curly brace with percent sign,

  • percent sign with curly brace.

  • This is literally saying, hey Flask, the title of this page shall be Failure.

  • And the body of this page, as per this block here,

  • shall be, quote, unquote, "You must provide your name and dorm."

  • Meanwhile, if we open up success.html, it's similar in spirit.

  • But notice it has a title of Success.

  • And it has a body of, "You are registered."

  • Well, not really.

  • So nothing interesting is happening.

  • But this body and this title will be plugged into this layout,

  • this other template file.

  • So let's now look at layout.

  • This looks more familiar.

  • So layout.html is sort of the parent of these children--

  • success.html and failure.html.

  • And this is because I realized, when designing

  • the website for the first time, I don't want to have to copy and paste

  • a whole lot of similar HTML.

  • I don't want to have HTML in every file, head in every file,

  • title in every file, body in every file.

  • There's a lot of redundancy, a lot of structure to these web pages.

  • It would be nice if I can kind of come up

  • with a general layout, the aesthetics for my overarching website,

  • and then, on a per page basis, just plug-in a custom title,

  • just plug-in a custom body.

  • And that's all this funky syntax is doing.

  • It's saying, hey Flask, put the body of this page here.

  • And hey Flask, put the title of this page here.

  • So again, this has nothing to do with Python per se,

  • nothing to do with HTML or CSS per se, except that it

  • is a templating language, another language used for really

  • plugging in values in this way.

  • And it's conventionally used in exactly this context with Python,

  • with CSS, and with HTML.

  • It helps us keep things a little cleaner and avoiding

  • a whole lot of copy, paste.

  • The form, meanwhile, that we originally saw

  • is perhaps even more familiar except for the block up top.

  • It too extends layout.html.

  • It has the title of Frosh IMs.

  • And then it's pretty much just got an H1 tag,

  • which you might recall from a couple weeks back.

  • It's got a form tag.

  • It's got some BR for line breaks, a select element, and more.

  • And the only thing that's a little interesting here is notice this.

  • Whereas two weeks ago, I hard coded an action value like google.com/search

  • or to my own file, this is a nice abstraction, if you will,

  • whereby I can say in my template, give me the URL for my register route.

  • Now realistically, it's probably just /register because that's what we hard

  • coded into the file.

  • But it would be nice to not have to hard code

  • things that could change over time.

  • And so this URL for is a way of dynamically asking the templating

  • language, you go figure out what this route is called

  • and plug in the appropriate relative URL here.

  • So that's all Frosh IMs does on the front end.

  • What's the back end?

  • Well for that, we need to look at application.py.

  • Again, this is where we started.

  • When I submit via post that super simple HTML form to /register, that is,

  • this route, first, this if condition runs.

  • If the request form's Name field is blank or its Dorm is blank,

  • return failure.

  • Else, return success.

  • But this isn't especially dynamic.

  • It would be nice, if I keep saying "dynamic," that things actually

  • are dynamic.

  • So let's look at one final example.

  • So now let's rerun Flask in this Store subdirectory, still on the same IP,

  • still on the same ports, but now serving a different application on the same.

  • Indeed, when we now reload the browser, we

  • see not the Frosh IMs site, but a super, super simple e-commerce site,

  • a web storefront that allows us to buy apparently foos and bars and bazes.

  • This is just an email form.

  • These are text fields here.

  • These are just labels on the side.

  • And this is a Submit button.

  • And the shopping cart ultimately is going

  • to show me how many of these things I've added to my shopping cart already.

  • Indeed, let's try adding one foo, two bars, and three bazes,

  • and click Purchase.

  • I'm redirected automatically to my cart.

  • And I just see a reminder that I've got one foo, one bar, one baz.

  • And let's just confirm that this is indeed the case.

  • Let me go ahead and continue shopping.

  • And let me go ahead and buy 10 more foos.

  • Click Purchase.

  • And indeed, it's incremented this properly.

  • And indeed, while you can't quite see what I'm doing on my keyboard,

  • I'm hitting Reload now.

  • And nothing's changing.

  • Indeed, if I close the window and then reopen it,

  • you'll see that it retains state.

  • In other words, no matter whether I close or open my browser,

  • it seems to be remembering that I've got 11 foos, two bars, and three

  • bazes in my shopping cart, so to speak.

  • So how did we implement this functionality?

  • Well first, notice that the store itself is super simple.

  • It's just some HTML and a template that has a whole bunch of input fields

  • textually for foos, for bars, and for bazes,

  • as well as that Submit button called Purchase.

  • And it, like before, extends layout.html,

  • which this application has its own copy of.

  • The cart, meanwhile, is actually pretty simple.

  • And notice what's nice about this templating language.

  • It lets us do this.

  • This is a file called cart.html that also descends from that layout.

  • And we have this H1 tag here that just says Cart.

  • And now notice this template language looks quite like Python here.

  • Has for item in cart.

  • And it allows me using this curly bracket notation, two of them

  • on the left, two of them on the right, to plug-in

  • the Quantity field of this Item object.

  • So it seems that Cart is some kind of list,

  • and Item are the elements, the objects inside of that list.

  • And this is giving me the Quantity field inside of this structure

  • and the Name field inside of this structure.

  • And that's why I see 11 foo and two bar and three baz in my templating language

  • here.

  • I'm just interesting over what apparently is my shopping cart.

  • Now this invites the question, what is this shopping cart?

  • And for that last detail, we need to look at application.py.

  • So as before, we instantiate a Flask application up here.

  • But we also configure it with a property called secret key

  • per the documentation for Flask.

  • You probably shouldn't use a value of shh,

  • but for now we'll keep things simple.

  • But that key, long story short, is used to ensure with higher probability

  • the security of the sessions of the shopping cart that we're using.

  • This line here again declares a route for slash,

  • specifying we only want to accept get and post.

  • Turns out there's other verbs like put and patch and others,

  • but we're going to ignore those for now.

  • And if that route is requested, call this method store.

  • Meanwhile that method says, hey, if the request method is post-- that is,

  • if the user submitted a form not by get but by post--

  • go ahead and iterate over the three possible items

  • that we sell in the store, foo, bar, and baz.

  • If the item is not already in the session--

  • and you can think of session as our shopping cart.

  • It's a special object dictionary that allows us to store

  • keys and values, a hash table of sorts.

  • Then go ahead and add to the session, the shopping cart, that item-- foo

  • or bar or baz-- and then as an integer the number of foos or bars

  • or bazes that the user requested via the form.

  • We're calling int here, effectively casting whatever that value is.

  • Because it turns out HTTP, all of those messages going back and forth

  • all this time are purely textual.

  • So even though it looks like 10 or 1 or 2 or 3, those are actually strings.

  • So using int here converts that to the integer.

  • So we're actually storing numbers with which we can do simple arithmetic.

  • Otherwise, if a foo or bar or baz was already in the shopping cart,

  • go ahead with Python's plus equal operator, which C also

  • had, and just increment that count from 1 to 10, for instance,

  • as I did a moment ago.

  • And then redirect the user to whatever the URL is for the cart routes.

  • In other words, after I add something to my cart,

  • let's just show me the cart right away rather than showing me the order form

  • instead.

  • Otherwise, if the user requested this page via get,

  • go ahead by default and just return store.html, which

  • is that simple form that lists the text fields and the numbers of foos and bars

  • and bazes that you might want to buy.

  • Meanwhile, the shopping cart is implemented in this application

  • as follows.

  • Here's a route for /cart, in which case a method called cart is called.

  • We then declare inside of this method an empty list called cart.

  • And then as before, we iterate over the available items

  • in our store-- foo and bar and baz.

  • And then what do we do?

  • We simply append to this cart, this list object, the following.

  • We append what's called a dictionary, a hash table, a collection of key value

  • pairs, simply by associating a name with an item capitalized properly,

  • and a quantity associated with the actual number

  • of those items in my session.

  • And then we return this time not just the template via its name, cart.html.

  • We furthermore render cart.html, passing into that template

  • a variable called cart whose value is also cart.

  • In other words, this variable is going to be called cart.

  • And it's going to be equal to whatever this list is.

  • And it's these two lines here in the for loop

  • that are appending a set of key value pairs

  • so that we know how many foos we have, how many bars, and how many bazes.

  • And that's why in cart.html do we have access to, on line 9

  • here, a cart list over which we can iterate.

  • So there, we're just scratching the surface of what we can do.

  • But we now have a language with which we can

  • express these new kinds of features.

  • We now have a server environment that allows us to actually execute

  • Python code not only at the command line,

  • but also via HTTP and in turn TCP/IP, and in general,

  • over the internet itself.

  • So now, using this language-- and soon a database,

  • and soon a client side language called JavaScript and more-- can

  • we start to build the very kinds of websites with which you're probably

  • already familiar and using them every day on your laptops and phones.

  • We're just now beginning our foray into web programming.

  • And next week, we'll add a back end so that we can actually

  • do all this and more.

  • [AUDIO PLAYBACK]

  • [MUSIC PLAYING]

  • -I never even got to know him.

  • I just-- I don't know what happened.

  • Please, please.

  • I-- I need to be alone.

  • The people need to know.

  • [INAUDIBLE]

  • No.

  • Please-- please go.

  • I never did get that dinner with him at his favorite restaurant.

  • [END PLAYBACK]

DAVID MALAN: All right.

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2016年CS50--第8周--Python (CS50 2016 - Week 8 - Python)

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    Amy.Lin 發佈於 2021 年 01 月 14 日
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