Placeholder Image

字幕列表 影片播放

  • [MUSIC PLAYING]

  • DAVID MALAN: All right.

  • This is CS50, and this is the day before our test, of course.

  • But this is lecture 8, in which we're actually

  • going to finally transition from C, this lower-level language

  • that we've been spending quite some time to.

  • And the goal today isn't so much to focus on Python per se,

  • but honestly to do what we hope will be one of the most empowering aspects

  • of the class, which is to emphasize that this has not been a semester learning

  • C. This has been a semester learning programming,

  • a certain type of programming called procedural or imperative programming.

  • But more on that in another higher-level class perhaps.

  • But really, that this class is about ultimately teaching

  • yourself to learn new languages.

  • And indeed, what you'll find is that as we explore some of the features

  • and the syntax of Python, odds are today,

  • it might look as cryptic as C did just a few weeks ago.

  • But you'll find that once you start recognizing patterns,

  • as you have with C, it will be all the more accessible and all the more useful

  • when solving some problems.

  • So unrelatedly, just earlier this week, I happened to be in Mountain View

  • with some of the team.

  • And you might recall from last lecture at Harvard

  • we offered this glimpse of one of the earliest racks of servers

  • that Google itself had.

  • Well, turns out they changed buildings.

  • But we happened to stumble upon the actual display.

  • So pictured here is a photo from my own phone,

  • which was actually really cool to see.

  • So inside of this, you'll see all of the old hard drives they've used.

  • We actually looked at some of the labels.

  • And indeed, hard drives manufactured in 1999,

  • which is when Google started getting some of its momentum.

  • You can see the green circuit boards here,

  • on which would be CPUs and other things, potentially.

  • So if you'd like a stroll down memory lane,

  • feel free to read up on this on Wikipedia or even on the excerpts here.

  • And then strangely enough, at the conference some of us were at

  • did we discover this-- perhaps the biggest duck debugger made up

  • of smaller duck debuggers, one of whom was our own.

  • So that, too, was how we spent this past week.

  • All right.

  • So how are we going to spend this week and the weeks to come?

  • So you'll recall that when we transitioned from Scratch to C,

  • we drew a couple of comparisons between syntax and features.

  • And I thought it'd be useful to take that same approach here,

  • really to emphasize that most of the ideas we're going to explore today

  • are themselves not new.

  • It's just how you express them and how you

  • write the syntax in the language known as Python that's

  • indeed going to be different from Scratch, from C,

  • and now here we are with Python.

  • So back in the day, in week 0, when you wanted to say something in Scratch,

  • you would literally use this blue purple puzzle piece, say hello.

  • And we called that a function or a statement.

  • It was some kind of verb action.

  • And in C, of course, it looked a little something like this.

  • Henceforth, starting today in Python, it's going to look like this.

  • So before, after.

  • Before, after.

  • So it's pretty easy to visually diff these two things.

  • But what are just a couple of the differences

  • that jump out at you immediately?

  • C, Python.

  • So there's no more backslash n, it would seem, in this context.

  • So that's kind of a nice relief to not have to type anymore.

  • What else seems to be different?

  • No semicolon, thank god.

  • Right?

  • Perhaps the stupidest source of frustration

  • that you might have experienced by just omitting one of those.

  • And someone over here?

  • Yeah, so printf is now just print, which is pretty reasonable unto itself.

  • So these are terribly minor differences.

  • But it's sort of testament to the kinds of mental adjustments

  • you're going to have to start to make.

  • Fortunately, thus far we've seen that you can start leaving things off,

  • which is actually a guiding principle of Python in that one of its goals is it's

  • meant to be easier to write than some of its predecessors, among them C.

  • So in C we might have implemented this hello, world program that

  • actually ran when you clicked the green flag using code like that at the right.

  • And this was, if those of you who had no programming experience coming

  • in to CS50, what probably looked like the proverbial Greek to you

  • just a few weeks ago.

  • And we teased apart what those various lines meant.

  • But in Python, guess what?

  • If you want to write a program whose purpose in life is to say, hello, well,

  • just write def main.

  • Print hello, world.

  • So it's a little similarly structured.

  • And in fact, it does not lack for some of the more arcane syntax here.

  • But we'll see soon what this actually means.

  • But it's a little simpler than the one before.

  • And let's tease this apart.

  • So def here simply means define me, a function.

  • So whereas in C we've historically seen that you specify

  • the type that the function should return,

  • we're not going to do that in Python anymore.

  • Python still has data types, but we're not

  • going to explicitly mention what data types we're using.

  • Meanwhile, here is the name of the function.

  • And main would be a convention, but it's not

  • built into the language in the same way as it is in C, as we shall see.

  • Meanwhile, this silly incantation is just

  • a way of ensuring that the default function

  • to be executed in a Python program is indeed going to be called main.

  • But more on that when we actually start creating.

  • But this is perhaps the most subtle but most important

  • difference, at least early on.

  • And it's even hard to see at this scale.

  • But notice the colons both here and here that I've highlighted now in yellow,

  • and these dots, which are not to be typed,

  • but are just meant to draw your attention to the fact

  • that I hit the space bar four times in those locations.

  • So if you have ever sort of gotten some feedback from your TA or TF

  • that your style could be better, closer to 5 out of 5, because of lack

  • of indentation or pretty formatting, Python's

  • actually gonna help us out with this.

  • So Python code will not run if you have not invented things properly.

  • So gone are the curly braces that encapsulate related lines of code

  • within some block of functionality.

  • And instead, they're replaced generally with this general structure.

  • You have a colon, and then below that and indented

  • are all of the lines that are somehow related to that earlier line of code.

  • And the indentation must be consistent.

  • So even though your own eye might not quite

  • distinguish four spaces from three, the Python environment will.

  • And so this will actually help implicitly

  • enforce better style, perhaps, than might

  • have been easily done from the get-go.

  • So then, of course, in Scratch, we had a forever block,

  • which says, hello, world forever, much like in C, we

  • could implement it like this.

  • Now there's actually a pretty clean mapping in Python.

  • We already know we can get rid of the semicolon.

  • We already know we can get rid of the curly braces.

  • We're going to have to add in a colon.

  • But it turns out we can get rid of a little more, too.

  • So what more is absent from this translation of hello, world to Python?

  • This one's more subtle.

  • So we definitely got rid of the curly braces,

  • relying now just on indentation.

  • OK, so there's no parentheses around while.

  • And so this, too, is actually meant to be a feature of Python.

  • If you don't logically need parentheses to enforce order of operations,

  • like in arithmetic or the like, then don't use them

  • because they're just a distraction.

  • They're just more to type.

  • And the code now is just visually cleaner and easier to read.

  • There's a minor difference, too--

  • True and False are going to be capitalized in Python.

  • But that's a fairly incidental detail.

  • But notice this kind of captures already the spirit of Python.

  • It's not a huge leap to go from one to the other.

  • But we've just kind of started to get rid of some

  • of the clutter and the stuff that never really intellectually added much,

  • and if anything was annoying to have to remember early on.

  • So True here is our Boolean.

  • And now we have a finite number of iterations.

  • We might want to say hello, world exactly 50 times.

  • In C, this was a crazy mess if you wanted to do this.

  • You'd have to initialize a variable with which to count up to,

  • but not including 50, plus plussing along the way and so forth.

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

  • And we'll come back to what this means exactly.

  • But if you kind of read it from left to right, it kind of says what you mean.

  • Right?

  • For i in the range of 50.

  • So i is probably going to be a variable.

  • And notice we're not mentioning its type.

  • It's going to be implied by whatever the context is, which in this case

  • has to do, apparently, with numbers, per the 50.

  • Range is actually going to be a data type unto itself.

  • It's a little funky in that sense.

  • It's called a class.

  • But this essentially is a special feature of Python that, unlike in C,

  • where if you want to iterate over an array of values or 50 such values,

  • you would literally have an array of 50 values.

  • Range is kind of cool in that it kind of stands there.

  • And every time you iterate through a loop, it hands you the next number,

  • but just one at a time, thereby using maybe as little as one

  • 50th the amount of memory because it only has to keep one number around

  • at a time.

  • And there's a bit more overhead than that.

  • It's not a perfect savings, quite so.

  • But this just says for i in range 50, and that's

  • going to implicitly count from 0 up through 49.

  • And meanwhile, what's below it is what's going to get printed this time.

  • So meanwhile, here was one of our bigger Scratch blocks early on.

  • And i translates pretty literally to code in C.

  • And you can perhaps guess, if you've never

  • seen Python before today, what the Python code might now look like.

  • If this here on the right is the C code, what

  • are some of the features syntactically that we're about to throw away?

  • Yeah.

  • AUDIENCE: You can throw away the curly braces and the parentheses.

  • DAVID MALAN: Curly braces and parentheses are going to go away.

  • What else might go away?

  • The semicolons are going to go away.

  • The backslash n inside of the print statements.

  • Great.

  • One more thing, I think.

  • The if.

  • So we don't strictly need the parentheses

  • because it's not like I'm combining things logically

  • like this or that or this and that.

  • So it should suffice to get rid of those two.

  • And there's a couple of other tweaks we're going to have to make here.

  • But indeed, the code's going to be a lot tighter, so to speak.

  • Now you're just going to say what you mean here.

  • And there is one weird thing.

  • And it's not a typo.

  • What apparently are we going to have to start knowing now?

  • Elif whatever.

  • So elif is not a typo.

  • It's indeed how you express the notion of else-if.

  • But otherwise, everything is exactly the same.

  • And notice the colons.

  • Frankly, ironically, whereas previously it

  • might have been annoying to occasionally forget a semicolon,

  • now the colons my take on that role.

  • But at least everything below them is meant to be indented.

  • So here's a fundamental difference beyond the sort of silly syntactic

  • differences of this and, say, other languages--

  • the flow of work that we've been using thus far has been essentially this

  • in C. You write source code in a file generally ending in .c.

  • You run a compiler, which, as a quick check, is called clang.

  • So it's not technically make.

  • Make is just this helpful build utility that

  • automates the process of calling clang.

  • So clang is, strictly speaking, the compiler.

  • And clang outputs zeros and ones, otherwise known as machine code.

  • And your computer-- Mac, PC, whatever-- has a CPU, Central Processing

  • Unit inside, made by Intel or some other company.

  • And that's CPU is hardwired to understand

  • certain patterns of bits, zeros and ones, otherwise known as machine code.

  • So that's been our world in C.

  • With Python-- so the code that you might have compiled in C,

  • for instance, might have been this, which

  • we said we run clang on like this.

  • And if you don't specify a default file name as output,

  • you'll instead just get in your file all of the zeros and ones,

  • which can then be executed by way of ./a.out,

  • the default name for the assembler's output here.

  • So in Python, though, the world gets here, too, a little simpler, as well.

  • So we just now have source code and an interpreter.

  • So there's no machine code, it would seem.

  • There's no compiler, it would seem.

  • And frankly, there's one fewer arrow, which

  • suggests to me that the process of running Python code itself

  • is actually going to be a little easier.

  • Running C code has typically been two steps.

  • You rerun clang, or via make you run clang.

  • Then you run the program.

  • And it's fine.

  • It's not all that hard.

  • But it's two steps.

  • Why not reduce to two steps what you could instead do in one?

  • And we'll see exactly what this means.

  • Now, technically, that's a bit of an oversimplification.

  • Technically, underneath the hood, if you wanted

  • to run a program like this that simply prints out hello, world,

  • you would simply run python hello.py.

  • And the result of that would be to see hello, world on the screen,

  • as we'll soon see.

  • But technically, underneath the hood, there is some other stuff going on.

  • So there actually kind of is a compiler.

  • But there's not something called machine code, per se.

  • It's called bytecode.

  • There's even something called a Python virtual machine.

  • But all of this is abstracted away for us,

  • certainly for the sake of today's conversation,

  • but also in the real world, more generally.

  • Humans have gotten better over the decades

  • at writing software and writing tools via which we can write software.

  • And so a lot of the more manual processes

  • and a lot of the lower-level details that we've

  • been focusing on, if not struggling on, in C, start to go away.

  • Because much like in week 0, where we started layering on idea after idea--

  • zeros and ones, ASCII, colors, and whatnot--

  • similarly with our actual tools are we're going to start to do the same.

  • So whereas in actuality what's going on underneath the hood is

  • this process here, we can start to think about it,

  • really, as something quite simpler.

  • Now, if you're curious, and if you take some higher-level class

  • like CS61 or another, you'll actually talk

  • about things like bytecode and assembly code and the like.

  • And we saw a glimpse of the latter a bit ago.

  • This happens to be an intermediate language

  • that Python source code is converted into before it's run by the computer.

  • But again, we're going to turn a blind eye to those lower-level details.

  • So here are some of the tools now in our toolkit.

  • In Python, there are data types, though as of now we've

  • not seen any examples whereby I specify what types of values

  • are going to be in my variables or what types of values

  • a function's going to return.

  • But they are there.

  • Everything is sort of loosely typed in that

  • whatever you want a variable to be, it will just take on that data type,

  • whether it's an int or string or the like.

  • It's not going to be the full word string.

  • In Python, it's literally called str.

  • But there are some familiar types here-- bool and float and int and others.

  • And, in fact, among the others, as we'll soon see, are features like range.

  • But before that, note too that we'll provide for at least our first foray

  • into Python a few familiar functions.

  • So Python has different mechanisms than C for getting input from the user.

  • We've abstracted some of those details away in a new CS50 library for Python

  • that you'll really just use one or few times before

  • we transition away from even that, but will give you functions like get_char,

  • get_float, get_int, get_string that handle all the requisite error checking

  • so that at least for your first few programs,

  • you can just start to get some real work done

  • without diving into underneath the hood there.

  • And then lastly, here are some other tools in our toolkit.

  • And we'll just scratch the surface of some of these today.

  • But what's nice about Python and what's nice about higher-level languages more

  • generally-- like more modern languages that learned lessons from older

  • languages like C--

  • is that you get so much more for free, so much more out of the box.

  • There's so much more of a kitchen sink.

  • There's so many metaphors we can use here, all of which speak to the fact

  • that Python has more features than C, much like Java,

  • if you took AP CS or something else, had than C.

  • So does Python have a whole toolkit for representing complex numbers,

  • for representing dictionaries, otherwise implemented as hash tables,

  • as you now know; lists, which is kind of synonymous with an array.

  • But a list is an array that can sort of automatically grow and shrink.

  • We don't have to jump through hoops as we did in C. Range we've seen briefly,

  • which just hands you back one number after another in some range, ideally

  • for iteration.

  • Set is the notion from mathematics, where

  • if you want to put bunches of things into a data structure

  • and you want to make sure you have only one of each such thing

  • without duplicates, you can use a set.

  • And a tuple is also a mathematical notion,

  • typically where you can combine related things without complicating things

  • with actual structs.

  • Like, x, y is a common paradigm in lots of programs-- graphics,

  • or videos, or certainly math and graphing itself.

  • You don't really need a whole full-fledged data structure.

  • You might just want to say, x, y.

  • And so Python gives us that kind of expressiveness.

  • So let's actually now dive in with that quick mapping

  • from one world to the other and focus on what you can actually do with Python.

  • So here I am in the familiar CS50 IDE.

  • Much like we have pre-installed for you clang

  • and make and other tools, we've also installed for you a program.

  • That program is called Python, which is a little confusing at first glance

  • because Python is apparently the name of the language.

  • But it's also the name of the program.

  • And here's where Python is different.

  • Whereas C is again compiled, and you use something

  • like clang to convert it to machine code,

  • Python is both the name of the language and the name of the program you

  • use to interpret the language.

  • So pre-installed in CS50 IDE, and frankly, these days,

  • probably on your own Macs or PCs, even if you don't know it,

  • is a program called Python that if fed Python source code as input

  • will do what that code says.

  • So let's go ahead and try something just like that.

  • Let me go ahead and save a file preemptively as hello.py.

  • So .py will be the convention now instead of .c.

  • And I'm going to go ahead and actually keep this pretty simple.

  • I'm just going to print the first thing--

  • muscle memory.

  • So it's not printf anymore.

  • It's just hello, world.

  • Save, done.

  • That's going to be my first program in Python.

  • Why?

  • It's one line of code.

  • It's consistent with the features I've claimed Python has.

  • So how do I run it?

  • Well, in C, we would have done, like, make hello.

  • But make knows nothing about this because make is typically used with C,

  • at least in this context here.

  • So maybe it's, like, ./hello.py.

  • No.

  • It seems I don't have permission there.

  • But there's a step that I teased us with earlier on just the slide alone.

  • How do I go about running a program, did I say?

  • AUDIENCE: Python hello.py.

  • DAVID MALAN: Yeah.

  • I have to be a little more explicit.

  • So python, which is the name of the interpreter that understands Python.

  • And now I need to feed it some input.

  • And we know from our time in C that programs

  • can take command-line arguments.

  • And indeed, this program itself does, Python.

  • You just give it the name of a program to run.

  • And there it is, our very first program.

  • So that's all fine and good.

  • But what if I wanted to do something a little more interesting,

  • like getting a string from the user?

  • Well, turns out in Python, in CS50 IDE especially,

  • I can do something like this. s gets get_string.

  • And I can ask someone, for instance, for their name, like this.

  • Now, CS50 IDE is already yelling at me--

  • undefined variable get_string.

  • and let's actually see if maybe it's just buggy.

  • No.

  • So this is a little more arcane than usual.

  • But traceback, most recent call last.

  • File "hello.py," line 2, in module-- whatever that is.

  • So I see a line of code from line 2.

  • NameError-- name get_string is not defined.

  • This is not the same language we've seen before,

  • but what does this feel reminiscent of?

  • Yeah, like in the past, when you've forgotten cs50.h,

  • you've gotten something about an undeclared identifier, something

  • like that.

  • It just didn't understand something related to the CS50 library.

  • So in C, we would have done include cs50.h.

  • That's no longer germane because now we're in Python.

  • But it's somewhat similar in spirit.

  • Now I'm going to say instead from cs50 import get_string, and now save that.

  • And hopefully momentarily, the errors will go away as the IDE realizes,

  • oh, you've now imported the CS50 library,

  • specifically a method or function, rather, inside of it called get_string.

  • So there, too, it's different syntax, but it kind of

  • says what it means-- from cs50, which is apparently the name of the library,

  • import a function called get_string.

  • Now if I go ahead and rerun python hello.py,

  • I can go ahead and type in, say, Maria's name

  • and ignore her altogether because I need to make a fix here.

  • What's the obvious bug--

  • obvious now, to me-- in the program?

  • AUDIENCE: You need to include the variable for s.

  • DAVID MALAN: Yeah.

  • So I need to include s, which I got on line 3,

  • but didn't thereafter use in any way.

  • So this is going to be wrong, of course, because that's going to say,

  • literally, hello s.

  • This is kind of how we used to do it.

  • And then we would put in s.

  • But this is not printf.

  • This is print.

  • So the world is a little different.

  • And it turns out we can do this in a couple of different ways.

  • Perhaps the easiest, if least obvious, would

  • be something like this, where I could simply say hello,

  • open curly brace, close curly brace.

  • And then inside of there, simply specify the name of the variable

  • that I want to plug in.

  • And that's not quite all the way there.

  • Let me go ahead and run this once more.

  • Now if I type in Maria's name, oh.

  • Still not quite right.

  • I need to actually tell Python that this is a special type of string.

  • It's a formatted string, similar in spirit to what printf expected.

  • And the way you do this, even though it's a little different from C,

  • is you just say f.

  • This is an f string.

  • So literally before the quotes, you write the letter f.

  • And then if I now run this program here, i'm

  • going to actually see Maria's name as hello, Maria.

  • And I'll take care of that red X later.

  • So that's a format string.

  • And there's one other way.

  • And this is not very obvious, I would say.

  • You might also see in online documentation something like this.

  • And let's just tease this apart for just a second.

  • It turns out in Python that what I've highlighted in green

  • here is known as a string, otherwise known as a str.

  • str is the name of this data type.

  • Well, unlike in C, where string was kind of a white lie, where it was just

  • a pointer at the end of the day, a string

  • is actually a first-class object in Python, which means

  • it's not just a sequence of characters.

  • It has built-in functionality, built-in features.

  • So much like a struct in C had multiple things inside of it,

  • so does a string in Python have multiple things inside of it,

  • not just the sequence of characters, but functions that can actually do things.

  • And it turns out you access those functions by way of the same dot

  • operator as in C. And then you would only

  • know from the documentation or examples in class what functions are inside

  • of the string object.

  • But one of them is format.

  • And that's just a function that takes an argument-- what

  • do you want to plug into the string to the left of the dot?

  • And so simply by specifying, hey, Python,

  • here's a string with a placeholder.

  • Inside of this string is a built-in function-- otherwise known

  • as a method, when a function is inside some object or structure--

  • pass in the value s.

  • So if I now go ahead and rerun this after saving my changes,

  • I should now see that Maria's name is still plugged in.

  • So that's it.

  • But a simple idea that now even strings have

  • things inside of them besides the characters alone,

  • and you can access that via the dots.

  • So let's go ahead now and ramp things up to a more familiar example from a while

  • back.

  • Let me go ahead and open up two side-by-side windows

  • and see if we can't translate one to the other.

  • I'm going to go ahead and open up, for instance, int.c from some time ago.

  • So you might recall from int.c, we had this program, whose purpose in life

  • was to get an integer from the user and actually now plug it into printf,

  • and then print it out.

  • So what's going to be different now in Python?

  • Well in Python, if I go ahead and implement this as, say, int.py,

  • I'm going to go ahead and do the following.

  • Let me scroll down to kind of line things up roughly.

  • I can go ahead and say def main, as I saw in the slides before.

  • And then over here, I can say i gets get_int, quote, unquote, integer.

  • And then down here, I'm going to say not printf but print, quote, unquote,

  • "hello," and then the placeholder.

  • What's the simplest way to do this now, per our past example?

  • Curly brace i.

  • And then I just need to be super clear this is a special f string or format

  • string, into which you can plug in values.

  • And now I'm going to go ahead and save that.

  • And I've got most of the pieces together,

  • ignoring, for now, the red X. So what more remains to be done?

  • I've made one same mistake as before.

  • Yeah, so the get_int. so up here, really the equivalent of line 3

  • would be from cs50 import get_int this time.

  • Saving that.

  • And now if in my terminal window I go ahead and run python of int.py--

  • hmm.

  • That seems strange.

  • It's not an error, in terms of, like, erroneous output.

  • Just nothing happened.

  • So why might this be?

  • How might you go about troubleshooting this, even with very little Python

  • under your belt?

  • Was that a hand, or no?

  • No?

  • OK.

  • Yeah?

  • AUDIENCE: Is there a line break?

  • DAVID MALAN: Is there a line break?

  • That's OK.

  • I was just doing that to kind of make everything line up.

  • But it's no big deal.

  • Everything's indented properly, which is the important aesthetic.

  • Yeah.

  • AUDIENCE: We didn't call the function.

  • DAVID MALAN: We didn't call the function.

  • And this is where Python's a little different from C. In C, recall,

  • main just gets called automatically for you.

  • Humans years ago decided that shall be the default name of a function.

  • In Python, line 6 here, calling something main is just a convention.

  • I could have called it foo or bar or any other word.

  • It has no special meaning.

  • And so in Python, if you want to actually call main,

  • you need to do something, frankly, that's,

  • I think, one of the stupider distractions early on.

  • But you have to literally say this--

  • if the name of this file happens to equal something that's

  • specially called main, then call main.

  • So long story short, when you run the Python interpreter on a file,

  • as we've been doing with python, space, int.py or hello.py,

  • there is a special global variable that your program has access to called

  • __name__.

  • And if that default name happens to be __main__,

  • then you know that you have the ability to call any function you want

  • by default.

  • So for now, much like we did in week one,

  • where we glossed over certain details that just weren't all that interesting,

  • lines 11 and 12, for now, let's consider not all that interesting.

  • But it's how we're going to kick-start these programs.

  • Because now if I run python, space, int.py, type in a great number--

  • hello, 42.

  • That's the meaning of life, the universe, and everything.

  • So let's now actually do something more powerful

  • than just getting a single int from the user.

  • Let me go ahead and close off this one and close off this one

  • and open up, say, ints.c after splitting my window again into two windows here.

  • And let's open ints.c.

  • So this one was a little different in that we did some arithmetic.

  • And so here is going to be another difference in Python.

  • Here's what we did in C. And what was curious or worth

  • noting about math in C?

  • Which of these did not quite behave as you might expect in the real world?

  • Division?

  • Yeah, why?

  • What did division do?

  • Yeah, it chopped off or rounded down.

  • It floored the value by throwing away everything after the decimal point.

  • So this line here, 18, where it's such-and-such divided by such-and-such

  • is such-and-such.

  • And we literally just said x divided by y.

  • If you divided, for instance, 1 divided by 2 in grade school, hopefully,

  • you would get the value 1/2 or 0.5.

  • But in C, what did we get instead?

  • AUDIENCE: Zero.

  • DAVID MALAN: Zero.

  • So it gets truncated to an int, the closest int

  • without a decimal point being 0 because 0.5 is really 0.5.

  • And thus we had that effect.

  • So in Python, things are going to be similar in spirit.

  • But this is kind of a feature that was fixed or a bug that was fixed.

  • In Python-- let me go ahead here and open up an example

  • I wrote in advance called ints.py, which is actually

  • now going to look like this.

  • So the Python equivalent now, which I've roughly line up,

  • looks a little different.

  • And there's a few distractions because we have all these f strings.

  • Now in the way.

  • But notice I'm just plugging in x's and y's.

  • But what's a new feature, apparently, in Python, arithmetically?

  • So floor division.

  • So this was the more proper term for what C has been doing all this time.

  • In C, when you use use the slash and you divide one number by another,

  • it divides, and then floors it to the nearest int.

  • In Python, if you want that same old-school feature,

  • you're going to now use slash slash, not to be confused with the C comment.

  • And if you want division to work the way you always knew it did in grade school,

  • you continue using just the slash.

  • So a minor point, but one of the differences to keep in mind.

  • So if we actually run this here in Python, if I go into source 8 today

  • and our week's directory for week 1, and I run Python ints.py,

  • here now we're going to see 1 and 2.

  • And there's all of the values that we would expect to see.

  • All right.

  • So without dwelling too much on this, let's fast forward to something

  • more powerful like conditions.

  • So in Python, if we want to do something only conditionally,

  • laying out my browser like this, let me go ahead and open up, let's say,

  • conditions.py.

  • Sorry, conditions.c, which once upon a time looked like this.

  • So in this example here, notice that we have

  • a program that gets two ints from the user,

  • and then just compares x and y and x and y and prints out

  • whether they're greater than, less than, or equal to, ultimately.

  • So let's actually do this one from scratch over here on the right.

  • So let me go ahead and save this as conditions.py.

  • And then at the top, what's the very first thing

  • I'm going to apparently now need?

  • Yeah, so the CS50 library.

  • So from cs50 import-- it looks like get_int is the one we want this time.

  • Now, how do I go about getting an int?

  • Or what's the translation of line 9 on the left

  • to the right-hand side of the screen?

  • x equals get_into of the same prompt.

  • OK, what comes next, if I line it up roughly here?

  • y gets get_int of quote, unquote, y.

  • And what's down here?

  • The condition.

  • So if x less than y?

  • No parentheses are necessary.

  • It's not wrong to put them, but it's unnecessary.

  • And now enters a word into our terminology--

  • it's not Pythonic, so to speak.

  • If you don't need them, don't put them.

  • So if x is indeed less than y, what do we want to do?

  • We want to print x is less than y, yes?

  • No.

  • OK.

  • All right, good.

  • So else if x--

  • OK, good.

  • Right.

  • So, kind of goofily, elif, then go ahead and print out x is greater than y.

  • And as an aside, I actually did that accidentally.

  • But it turns out in Python, too, you can use double quotes or single quotes.

  • Either is fine, whereas in C, single quotes had a very specific meaning,

  • which meant what?

  • AUDIENCE: Char.

  • DAVID MALAN: Char.

  • So single characters.

  • And double quotes meant strings, sequence

  • of characters, which meant zero or more characters, followed by backslash 0.

  • In Python, all of that is gone.

  • Single quotes and double quotes are equivalent.

  • I'll almost always use double quotes, just for consistency, as should you,

  • for consistency, within your own files.

  • But sometimes it's useful to drop into one or the other if you nest,

  • for instance, quote marks, as you might have once in a while in C

  • OK.

  • So finally, else print out x is equal to y.

  • So it's cleaner.

  • And frankly, I don't need all this whitespace.

  • So let's go ahead and just make this a little tighter still.

  • You can see that in 11 lines, we've now done what took 27 or so last time.

  • But I have omitted something, to be fair.

  • What did I omit?

  • Yeah, I didn't do that whole calling of function thing.

  • There's no mention of main.

  • And it actually turns out that's not strictly necessary in Python.

  • If you're going to be interpreting a file that contains Python code,

  • and it's a simple enough program that you don't really need to factor code

  • out and organize it into separate functions, then don't.

  • If this is what would now be called a command-line script,

  • a program that just has lines of code that you can execute, literally,

  • at the prompt.

  • So if I go into this directory and run python of conditions.py, Enter.

  • x will be 1. y will be 2.

  • x is indeed less than y.

  • And that's it.

  • I don't need to bother doing all of this, as I proposed earlier.

  • def main, and then I could go in here.

  • And if you've never known this, and now it's useful,

  • especially, for Python, you can highlight lines and just

  • tab them all at once.

  • I could do this, but then I would need this thing, which I'd probably

  • have to go look up how to remember it, if you're doing it for the first time.

  • There's just no value in this case to doing that.

  • But at least it can be there as needed.

  • So let me go ahead and undo that.

  • And we're back to a porting of one to the other.

  • All right.

  • So that might then be conditions.

  • And let's see if we can't--

  • noswitch there.

  • Let's take a look at this one.

  • Let me open up, rather than comparing all of them side-by-side,

  • let me just open up this one now called noswitch.py,

  • which is reminiscent of a program we ran some time ago called noswitch.c.

  • And you can perhaps infer what this does from the comments alone.

  • What does this program do in English?

  • Because logical operators is not all that explicit at top.

  • What's that?

  • Yeah.

  • So if you've ever interacted with a program that asked you for a prompt,

  • yes or no, here's some code with which you might implement it.

  • And we could do this in C. We're just comparing characters here.

  • But there's a few differences if you kind of now

  • think back to how you might implement this in C,

  • even if you don't recall this specific program.

  • I'm importing my library right up here.

  • I'm then calling get_char this time, which

  • is also in CS50's library for Python.

  • And then notice there's just a couple of things

  • different down here syntactically.

  • Besides the colons and the indentation and such, what else is noteworthy?

  • Yeah.

  • Yeah.

  • Thank god, you can just say more of what you mean now.

  • If you want to do something or something, you literally say or.

  • And if we were instead--

  • albeit nonsensically here-- trying to do the conjunction of two things, this

  • and that, you could literally say and.

  • So instead of the two vertical bars or the two ampersands,

  • here's another slight difference in Python.

  • Let's now take a look at another example reminiscent of ones past,

  • this one called return.py.

  • So here's an example where it's actually more

  • compelling to have a main function because now I'm

  • going to start organizing my code into different functions still.

  • So up here, we are importing the get_int function from CS50 library.

  • Here I have my main function just saying x gets get_int.

  • And then print out the square of x.

  • So how do you go about defining your own custom function

  • in Python that's not just main?

  • Well, here on line 11 is how I would define a function called square--

  • that takes, apparently, an argument called n,

  • though I could call this anything I want-- colon, return, n, star star, 2.

  • So a few new features here.

  • But again, it's no big deal once you just kind of look these features up

  • in a manual or in a class.

  • What is star star probably doing?

  • AUDIENCE: Square root.

  • DAVID MALAN: Not square root.

  • The power of, yeah.

  • So n star star 2 is just n raised to the power of 2.

  • That was not a feature we had in C. So now we get this in Python.

  • And what's this line 12 in green with the weird use of double quotes?

  • Yeah, it's a comment.

  • And it's a different type of comment than we've

  • seen before because in my previous example, I did have a few comments.

  • Recall that just a moment ago, in conditions.py,

  • we had a whole bunch of comments.

  • Prompt the user for x.

  • Prompt the user for y.

  • Compare x and y.

  • So whereas in C we were using slash slash,

  • Python, unfortunately, uses that for floor division, so to speak.

  • So we instead just use the hashtag or the pound sign

  • to specify a line that should be thought of as a comment.

  • But here is something a little different.

  • And we won't dwell too much on this for now.

  • But Python has different types of comments, one of which is this.

  • This is technically called a docstring or document string.

  • And what's nice about Python, as well as languages like Java and others still,

  • is that you can put comments in your code

  • that special programs can read, and then generate documentation for you.

  • So if you ever took AP CS and you ever saw a Javadoc,

  • this was a way of commenting your methods

  • and your code in Java using funky @ signs and other syntax

  • so that if you ran a special command, it could generate a user's manual for all

  • of your functions and tell you or colleagues or friends or teachers

  • exactly what all your functions are, what their arguments are,

  • what their return values are, and all of that.

  • Similarly in Python can you use these funky quote quote quote

  • docstrings to document your function.

  • So whereas in C our style has been to put quotes above the functions,

  • in Python it's going to be to put them as the first line inside

  • and indented within the function.

  • All right.

  • So now let's actually try to port a program from code again,

  • thinking back on week one in C when we had this program here.

  • So there's quite a bit going--

  • oops, spoiler.

  • Don't look at that.

  • Hopefully, that didn't sink in just yet.

  • So in week one, we had this program in C, get_positive_int.

  • And its purpose in life was to write a program that

  • gets a positive integer from the user, in and of itself

  • not all that interesting.

  • But it was an opportunity to introduce a few things.

  • One, we introduced this line 6 several weeks ago,

  • which is known as a prototype.

  • And what was the purpose of having that function prototype up there?

  • Yeah, you declare the function, but why?

  • Because it's already implemented down here on line 15.

  • AUDIENCE: The way the program runs, it needs to be in order or something

  • like that.

  • DAVID MALAN: Yeah.

  • Because of the way the program's run, and frankly

  • because of how sort of naive or dumb that clang is by design,

  • it does not know that a function exists until it actually sees it.

  • So the problem is that if in C, you have main, inside of which

  • is a call to function like get_positive_int,

  • but it's not implemented until a few lines later,

  • clang is going to be dumb and just not know that it even exists.

  • And it's not going to compile your code.

  • So this prototype, as we called it, is kind of a teaser, a hint, that

  • doesn't implement the whole function.

  • It just shows the compiler its return type and its types

  • and order of parameters so that that's enough information

  • to then just trust that if I just blindly compile main,

  • eventually I'm going to see the actual implementation of the function.

  • So I can compile its bits, as well.

  • So in here, in C, we called get_positive_int,

  • and then we passed in a prompt.

  • We stored it in a variable calle i, and then printed it out.

  • And then to implement this, we used kind of a familiar construct

  • that you've used in other programs.

  • Pretty much anytime you want to prompt the user for input,

  • and you want to keep pestering him or her

  • until they cooperate with whatever your conditions are,

  • you would use the so-called do-while loop.

  • And because the do-while loop, recall, is distinct from the while loop how?

  • AUDIENCE: It runs at least once.

  • DAVID MALAN: It runs at least once, which

  • just kind of makes intuitive sense if you

  • want to prompt the user for something.

  • And then if he or she doesn't cooperate, only then

  • do you want to prompt them again.

  • By contrast with a while loop, it's going to happen again and again

  • and again no matter what, from the get-go.

  • So let's see if we can't now convert this or port

  • this, as people would say, to Python.

  • So here I'm going to go ahead and save a new file called positive.py.

  • And I'm going to go ahead and do everything here in main, as before.

  • So I'm going to ahead and do, let's say, from cs50 import get_int,

  • because I do need that.

  • And then I'm going to go ahead and have my main method here.

  • And then inside of main, just like on the left-hand side,

  • I'm going to do i gets get_positive_int--

  • positive integer, please.

  • It's going to wrap a little bit now.

  • That's fine.

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

  • is just print an f string where the placeholder is i,

  • although, frankly, this is kind of stupid,

  • to just create a string that has nothing other than the value we want to print.

  • Nicely enough in Python, just print what you want.

  • And so that simplifies that argument.

  • So now it remains to implement get_positive_int,

  • which is going to take some kind of prompt as its input.

  • And notice I'm not specifying the data type of prompt, which is string.

  • I'm not specifying the return type of this function.

  • But both actually do exist underneath the hood.

  • So in the past, to get a variable, I would do something

  • like this, semicolon.

  • But I know I don't need the semicolon.

  • I know I don't need the data type.

  • And this just looks stupid to just put a variable there to need it.

  • You don't need to do this in Python.

  • If you want to use a variable, just start using it.

  • And unfortunately, whereas almost every other feature we've seen in Python

  • thus far kind of maps directly back to a feature in C,

  • Python does not have a do-while.

  • So it has the for-in, and it has while.

  • And maybe it has other things we haven't told you about.

  • But it doesn't have do-while.

  • So knowing that, and knowing only what we've presented thus far,

  • how do we still go about getting an int from the user

  • and ensuring it's positive and reprompting him or her if and only

  • if it's not?

  • Put another way, how would you do this in C if we took away from you

  • the do-while construct?

  • Exclamation points?

  • OK.

  • So we could invert something, maybe, using that logically.

  • AUDIENCE: You can just do a while loop.

  • DAVID MALAN: We could just use a while loop.

  • How?

  • AUDIENCE: So while prompt is less than 1.

  • DAVID MALAN: So while prompt is--

  • OK, so the prompt is the string we're going to display to the user.

  • So it's not prompt, I think.

  • So maybe i or n, to be consistent with the other side.

  • So you know what?

  • Why don't I-- what about this?

  • What if I just do-- you know what?

  • I know I need a loop.

  • This is by far the easiest way to just get a loop, right?

  • It's infinite, which is not good.

  • But I can break out of loops, recall.

  • So what if I do something like this?

  • What if I do n gets get_int, passing in the same prompt?

  • And then what do I want to do next?

  • I'm inside of an infinite loop.

  • So this is going to keep happening, keep happening, keep happening until--

  • is positive?

  • So python's not quite that user-friendly.

  • We can't just say that.

  • But we can say what?

  • AUDIENCE: Greater than 1.

  • DAVID MALAN: Greater than--

  • close.

  • AUDIENCE: Equal to.

  • DAVID MALAN: OK, that's fine.

  • Greater than or equal to one.

  • Then what do we want to do?

  • Break.

  • So it's not quite as cool as, like, a do-while loop,

  • which kind of gives us all these features, though frankly, this

  • was never that pretty, right?

  • Especially the fact that you had to deal with the issue of scope

  • by putting the variable outside.

  • So in Python, the right way to do this would be something like this.

  • Just induce an infinite loop, but make sure you break out of it logically

  • when it's appropriate to do so.

  • And so now if I go ahead and add in that last thing that I keep needing--

  • so if name equals main, and it's always find to copy-paste something like that,

  • call main.

  • Let me go ahead now and in my terminal window run python of positive.py.

  • And let me go ahead and give it negative 5.

  • How about negative 1?

  • How about 0?

  • Whoops.

  • How about that?

  • How about 0?

  • 1?

  • Hmm.

  • I screwed up.

  • None is interesting.

  • It's kind of our new null, so to speak.

  • But whereas in C, null can, potentially, if used in the wrong way,

  • crash your program, Python might just print it, apparently.

  • Where did I screw up?

  • Yeah, so I didn't return an actual value.

  • And whereas clang might have noticed something like this, Python,

  • the interpreter's not going to be as vigilant when it comes to figuring out

  • if your code is missing something.

  • Because after all, we never said we were going to return anything.

  • And so we don't strictly need to.

  • So what could I instead do here instead of break?

  • I could just return n here.

  • Or I could equivalently do this, and then just make sure I return n here.

  • And another difference in Python, too, is that the issue of scope

  • isn't quite as difficult as it was in C. As soon as I've declared n to exist up

  • here, it now exists down below.

  • So even though it was declared inside of this indentation,

  • it is not scoped to that while loop alone.

  • So either way could we actually make this work.

  • OK, so now let's try to run this again.

  • Positive integer.

  • Negative 1.

  • 0.

  • 1.

  • And now we're actually seeing the number 1.

  • All right.

  • Let me pause here for just a moment and see if there's any questions.

  • No?

  • Yes.

  • AUDIENCE: Do you to call things from the CS50 library individually,

  • or can you just import the entire library?

  • DAVID MALAN: Ah, good question.

  • Do you have to call things inside of the CS50 library individually,

  • or can you import the whole thing?

  • You can technically import the whole thing as follows.

  • If you want access to everything in the CS50 library,

  • you can literally say star.

  • And a star in programming-- well, in many computer contexts,

  • star generally is a wildcard character.

  • And it means anything that matches this string here.

  • This is generally considered bad practice, though.

  • Because if CS50 staff happens to give you functionality or variables that you

  • don't want, you have now just imported into your namespace,

  • so to speak, all of those functions.

  • So for instance, if the CS50 library had public inside of it

  • a variable called x and y and z in addition

  • to functions like get_string and get_int and get_char,

  • your program is now seeing variables x and y and z.

  • And if you have your own variables called x and y and z,

  • you're going to shadow those variables inside ours.

  • And it just gets messy quickly.

  • So generally, you want to be a little more nitpicky

  • and just import what you want.

  • Or, another convention in Python is to not specify it like this,

  • but instead to do import CS50.

  • This does not have the same effect of importing

  • all of those keywords like get_int and get_string

  • into your program's namespace, like the list of symbols

  • you can actually type in.

  • But what you then have to do is this--

  • you have to now prefix any usages of the functions in that library

  • with the now familiar or more familiar dot operator.

  • So this is just a stylistic decision now.

  • I have consciously chosen the other approach

  • so that initially, you can just call get_int, get_string, just like we

  • did in C. But technically and probably more conventionally would

  • people do this to make super clear this isn't my get_int method.

  • It's CS50's get_int function.

  • OK.

  • Other questions?

  • Yeah.

  • AUDIENCE: Is it good coding practice to do the if __name__ or just--

  • because you can run hello, world without defining main.

  • Do you really need to do--

  • DAVID MALAN: Oh, it's a good question.

  • Short answer, no.

  • So I'm showing you this way because you'll

  • see this in various examples online and in programs

  • that you might look at that are open source.

  • Strictly speaking, this is not necessary.

  • If you end up making your own library, this tends to be a useful feature.

  • But otherwise, I could equivalently do this, which is perfectly fine as well.

  • I can still define get_positive int.

  • I can get rid of main altogether.

  • And I can just now do this.

  • So this program is equivalent and just as fine for now.

  • OK.

  • So with that said, let's do a couple of more examples

  • here to kind of paint a picture of some of the things

  • that are similar and different.

  • And let's go ahead and open up, for instance, overflow.c from some weeks

  • ago, splitting our windows again.

  • And then on the right-hand side, let me open up something called overflow.py,

  • which I put together in advance.

  • So here we have on the left an example of integer overflow, whereby

  • if I start counting at 1, and then don't even have a condition,

  • and I just keep multiplying i by 2, by 2, by 2,

  • doubling it, doubling it, doubling it, doubling it,

  • we know from C that bad things happen if you just kind of keep

  • incrementing something without any boundary in sight.

  • So this program is just going to print out each of those values,

  • and it's going to sleep one second in between.

  • Same program in Python looks pretty similar.

  • But notice I'm initializing i to 1, doing the following forever--

  • printing out i, multiplying i by 2, and then sleeping for one second.

  • But sleep is also not built into Python in the way that print is.

  • Notice what I had to include up here.

  • And I wasn't sure what that was.

  • And so honestly, just a few days ago, I googled,

  • like, "sleep one second Python," saw that there's this time library, inside

  • of which is a sleep function.

  • And that's how I knew which library to actually include.

  • And so just as there are man pages for C,

  • there's a whole documentation website for Python

  • that has all of this information, as well.

  • So let me go ahead and do this.

  • And let me actually try to create two windows here.

  • What's the best way for me to do this?

  • Split one to two.

  • OK.

  • So let's do this, just so I can run this in the same place.

  • So if I go into my source--

  • [POPPING NOISE]

  • Jeez.

  • My source 8 directory, and I go into weeks and one, and I make overflow--

  • nope, sorry.

  • Week one.

  • OK.

  • So if I go into source one, and I do make overflow,

  • which is kind of cute semantically, I'm now

  • going to be able to run a program called overflow.

  • Meanwhile, over here, let me go ahead and split this window, too.

  • Dammit, not there.

  • Let's put this over here.

  • Oh, no!

  • OK.

  • One second.

  • Sorry.

  • Overflow.py.

  • OK.

  • So now we're-- oh, now I lost the other window.

  • Oh, that's cool.

  • OK.

  • So let's do this.

  • OK.

  • Now I know how to use the IDE.

  • All right.

  • So on the left-hand side, I'm about to run overflow.

  • And then lastly, without generating that beep again, I'm going to go in here.

  • And I'm about to run python of overflow.py.

  • All right.

  • And so the left will run the C version.

  • The right will run the Python version.

  • And we'll start to see--

  • no pun intended-- what happens with these programs.

  • Oh, damn it.

  • I got to scroll.

  • OK, so I'll just keep scrolling for us.

  • This is fun.

  • OK.

  • OK.

  • Next time, Google how to sleep for half a second instead.

  • OK.

  • So there we go.

  • Something bad has happened here.

  • And now C is just completely choking.

  • Things are in a funky state.

  • So what happened on the left, before the answer scrolls away?

  • Integer overflow, right?

  • We had so many bits becoming ones, that eventually, it

  • was mistaken for a negative number temporarily.

  • And then the whole thing just kind of got confused

  • and became permanently zeros.

  • Whereas on the right-hand side, like, yeah, Python.

  • Look at you go.

  • Still counting higher and higher and higher.

  • And even though we haven't talked about the underlying representation

  • of these types in Python, what can we infer

  • from the apparent better correctness of the version on the right in Python?

  • It's not an eight-bit representation.

  • And even C, to be fair, uses 32 bits for its ints.

  • And that's what we got as high as 2 billion or 4 billion in total.

  • But same idea.

  • How many bits must Python be using?

  • AUDIENCE: 64?

  • DAVID MALAN: Yeah, maybe 64.

  • I don't know exactly.

  • But I know it's not 32 because it's keep counting up and up and up.

  • And so this is another feature of Python.

  • Whereas int in C has typically been for us 32 bits--

  • although that is technically machine-specific--

  • Python integers are now going to be 64, which

  • just means we can do much bigger math, which

  • is great for various data-science applications and stats and whatnot,

  • where you actually might have some large data sets to deal with.

  • Unfortunately, we still have some issues of imprecision.

  • Let me go ahead and close a whole bunch of these windows

  • and go ahead and open up, for instance, just this one here.

  • OK.

  • No, I'm going to skip this and do something

  • slightly more fun, which is this.

  • So in Python here, let's do a quick warm-up.

  • This is going to print for me what?

  • AUDIENCE: Four question marks.

  • DAVID MALAN: 4 question marks, right?

  • And this is reminiscent-- this is like a really cheap version of "Super Mario

  • Bros."

  • And if you think back to week one, where we explored this,

  • there was a screenshot I had of "Super Mario Bros," one of the worlds

  • where we just had four question marks which Mario could hit his head against

  • to actually generate a coin.

  • So we stepped up from there in C to do this instead.

  • And this is going to give us another feature.

  • But let's see if we can't start to infer from context what these programs do.

  • Here's another one, mario1.

  • What's this do?

  • It's using a loop, for sure.

  • And it's using how many iterations, apparently?

  • Four.

  • So from 0 to 1 to 2 to 3, total.

  • Each time, it's going to print out, apparently, a question mark.

  • But now, just infer from this--

  • I haven't answered this question already--

  • what else is going on line 4 and why?

  • AUDIENCE: It's not going to a new line.

  • DAVID MALAN: Not going to a new line, right?

  • So there's always this trade-off in programming and CS more generally.

  • Like, yay, we took away the backslash n, which was annoying to type.

  • But now if it's always there, how do you turn it off?

  • So this is one way to do that, and it also

  • reveals another fundamental feature of Python.

  • Notice that print apparently takes, in this case, more than one argument.

  • The first is a string-- literally quote, unquote, and a question mark.

  • The second is a little funkier.

  • It's like a word, end.

  • It's then an equal sign, and then it's a quote mark.

  • So what is this here?

  • So it turns out Python supports what are called named parameters.

  • So in C, any parameters you pass to a function

  • are defined, ultimately, by way of their order.

  • Because even if a function takes arguments that have names,

  • like x and y or a and b or whatever, when you call the function,

  • you do not mention those names.

  • You know they exist, and that's how you think about them in the documentation

  • or in the original code.

  • But you don't name the arguments as you pass them in and call a function.

  • You instead pass them in in the appropriate order per the man page

  • or per the documentation.

  • In Python, you can actually be a little more flexible.

  • If a function takes multiple arguments, all of which have names,

  • you can actually mention the names explicitly,

  • thereby freeing you from the minor inconvenience

  • of having to remember and always get right the actual order of arguments.

  • So in this case, print apparently takes at least two arguments

  • in this case, one of which is called end.

  • And if you want to use that one, which is clearly optional because I haven't

  • used it yet, you can literally mention it by name, set an equal sign,

  • and then specify the value that you want to pass in.

  • So if I actually now go into this and go into weeks and 1 and do python

  • of mario1.py, I'll still get--

  • in week two.

  • If I get mario1.py, I still get four question marks.

  • But that's the result of printing this with a line ending of quote, unquote.

  • If I do this, meanwhile, it's a little stupid

  • because I'm going to get that for free if I just omit it altogether.

  • But now I get four question marks here.

  • And if you really want to be funky, you can do something

  • like this, which is just going to be taken literally

  • to give you that instead.

  • Unclear utility of taking this approach.

  • But that's all--

  • [POPPING NOISE]

  • Sorry-- that's going on.

  • Let's take a look at mario2.

  • This one works a little differently, as well.

  • And how would you describe the feature offered by this version of mario?

  • Prints any number of question marks perfectly.

  • So it's parameterized by first getting and int from the user using

  • CS50's get_int function.

  • And now I'm iterating from i to the range of n, whatever that is,

  • and then actually printing out the question marks.

  • Meanwhile, in mario3.py, a little fancier still.

  • But what am I doing a little better now?

  • AUDIENCE: You're making sure that the n is positive.

  • DAVID MALAN: Yeah, I'm just making sure that the n is positive.

  • So I didn't bother implementing a whole function called, like,

  • get_positive_int.

  • I don't need that.

  • This is a super-short program.

  • I'm just using the same logic up here--

  • inducing, deliberately, an infinite loop,

  • breaking out of it only when I've gotten back a positive integer,

  • and then printing out that many of hashtags, reminiscent of the bricks

  • in Mario.

  • And then lastly, we have this slightly more sophisticated version

  • that actually prints out a different shape altogether.

  • You can infer from the comments, but focus more on why.

  • So this first line 12 iterates from i to n,

  • whatever n is that the user typed in.

  • Meanwhile, line 15, indented, iterates from j from 0 up to n, as well.

  • So this is kind of like our canonical for int i

  • gets 0, dot, dot, dot, for int j get 0, dot, dot, dot, where

  • we've had nested loops in the past.

  • So notice now that we have this building block, which is a line of code or kind

  • of conceptually just a Scratch piece.

  • We can embed one inside of the other.

  • Here I can print out a hashtag, making sure

  • not to put a new line after every single hashtag I print out,

  • only printing out a new line on line 17, on each iteration of the outer loop.

  • And now notice whereas in C we would have done this historically--

  • and that's fine-- in Python, we don't need the f.

  • And we also don't need the backslash n.

  • End So ergo, you can simply do print, and you'll get, if nothing else,

  • a backslash n automatically.

  • So that now when I run this version of Mario,

  • we now get something more interesting.

  • And I'll increase the size of my terminal window

  • for this so that I can enter a positive number like this and print 10.

  • And now we've got a whole block.

  • So that was a lot.

  • Let's go ahead and take our five-minute break here.

  • And when we come back, we'll look at some more sophisticated examples still.

  • All right.

  • So let's begin to start to transition to actually solving problems with Python

  • after introducing just a couple of additional features

  • that aren't so much syntactic but actual features of the language.

  • So here on the left was an old program we wrote in week three called argv0.c.

  • And its purpose in life was simply to allow

  • you to run a command-line argument for the very first time.

  • And that was a nice tool to have in our toolkit.

  • So how might we go ahead and map this?

  • Well, we actually need to know how Python works

  • a little bit differently as follows.

  • If I go ahead and open a new file called--

  • let's call it argv0.py.

  • I'm going to go ahead and translate this, just as we did earlier.

  • So I'm going to go ahead and want to use the following.

  • So if argc-- so there is no argc.

  • And actually, so def main--

  • there was also no argc or argv.

  • And it's not actually correct to do this and this, as you might assume.

  • It turns out that the feature of command-line arguments

  • are provided by a Python package, so to speak,

  • or a library, much like the CS50 library is a package

  • that you can import in Python speak.

  • So to do this, I actually need to do this-- import sys, which gives me

  • access to a whole bunch of system-related stuff,

  • like what the user has typed at the command prompt.

  • And if I want to check if the number of words that the human typed

  • at the prompt is two, I actually am going

  • to do this-- if the length of sys.argv equals 2,

  • then I'm going to go ahead and print out quote, unquote, "hello,"

  • and then a placeholder here.

  • I know for placeholders, I need to turn this into a formatted string, so

  • an f string there.

  • And now inside of the curly braces, it turns out I can do sys.argv[1].

  • So it's a little different from before.

  • But notice I'm borrowing almost all the same ideas as earlier,

  • including how we're printing out strings.

  • And even though this is a little more verbose,

  • what is between these two curly braces?

  • Well it's the result of looking in the system package, which

  • has a variable called argv, for argument vector,

  • just like in C. It is itself an array, AKA a list in Python.

  • And here we have the result of indexing into element one of that list.

  • And the way that I have access to this is because I've

  • imported that whole package.

  • So if on the right-hand side here I go ahead, after saving that file,

  • and I do python of argv0.py, I see nothing.

  • But if I actually say, like, my name here, I see, "hello, David."

  • So a very similar program, but implemented a little differently.

  • And you'll notice, too, that the length of an array,

  • henceforth known as a list, is not something that you yourself

  • have to remember or keep around.

  • You can just ask a list how long it is by calling the len--

  • or L-E-N for length--

  • function, passing it in as an argument.

  • So that's one of the takeaways there.

  • And if we actually want to do something a little more clever,

  • like print out all of the strings in argv, well, back in the day in see,

  • you might recall this example--

  • argv1.c, wherein I had this for loop.

  • And I iterated from zero on up to argc, the argument count,

  • printing out each of the arguments in that vector.

  • Python actually makes even something like this even simpler.

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

  • And I'll call this, say, argv1.py.

  • And it turns out in Python, I can similarly just import sys,

  • and then do, honestly, for s in sys.argv, print s.

  • Done.

  • So again, kind of just says what it means.

  • So I've imported the system library.

  • sys.argv I know to be a list, apparently, of command-line arguments.

  • For something in something is a new syntax we have for for loops.

  • So for some variable s inside of this list, go ahead and print it.

  • And so it's a much cleaner, much more succinct way

  • of honestly getting rid of all of the complexity of this

  • by just saying instead what we mean.

  • Meanwhile, if I wanted to print out every character,

  • I can take this one step further.

  • So back in the day in C if I wanted to print out

  • every command line argument and every character therein I could do this.

  • I just need a couple of nested loops, wherein via the outer loop,

  • I iterate over all of the arguments passed in.

  • And on the inner loop, I iterate over the current string length

  • of whatever argument I'm printing.

  • And this had the effect of printing out all of the command-line arguments'

  • letters one at a time.

  • I can do this in Python, honestly, so much easier.

  • So let me go over here.

  • Let me create a new file called argv2.py.

  • Let me import sys, as I did.

  • So import sys.

  • And then for s in sys.argv, for c in s, print c.

  • Done.

  • So what is this doing?

  • Gone is all of that overhead of for int i and for int j and so forth.

  • For s in sys.argv iterates over all of the elements of that list,

  • one string at a time.

  • For c in s is a little different because s is technically

  • a string or a str object, as we're going to start calling it.

  • But at the end of the day, a string is just a sequence of characters.

  • And it turns out Python supports, out of the box, the ability to use a for loop

  • even to iterate over all of the characters in a string.

  • And so c-- I just mean char.

  • So for c in s, that gives me each of the characters.

  • So now at the end here, if I go ahead and run python of argv2.py

  • with nothing, I get just the program's name

  • because that's, of course, the very first thing in argv, as in C. And if I

  • write, say, a word like "Maria" here, I get argv2.py, Maria,

  • all in one long column because of the additional prints that are happening

  • and the implicit new lines.

  • So any questions before we proceed on this use of a package

  • called sys using these functions therein?

  • All right.

  • So let me skip ahead, then, to something slightly familiar, too.

  • Let me go ahead-- and you might recall initials.c from some time ago,

  • wherein we accepted as input to get_string a user's name,

  • and then we printed out their initials.

  • So let's go ahead and do that.

  • So from CS50, let me go ahead and import get_string.

  • Then let me go ahead and say, get me a string.

  • And I want the user to be prompted for their name, as we might do here.

  • Then let me go ahead and say, all right, their initials--

  • I don't know what they are yet.

  • So let me just initialize an empty string.

  • But then do this--

  • for c in s, which is for each character in the person's name, if--

  • and I don't know how to say this yet.

  • If c is an uppercase letter, then go ahead and append c to initials.

  • And then down here, print initials.

  • So I've left a couple of blanks.

  • That's just pseudocode for the moment.

  • But this line 5, just to be clear, is doing what for me?

  • What is being iterated over?

  • The string.

  • So for each character in the string, for c in s, I'm going to ask two questions.

  • So in C, we did this in a couple of different ways.

  • We can actually do it with inequality checks

  • and actually considering what the underlying ASCII values are.

  • The ctype library had that isupper function and islower that we use.

  • Well, it turns out because c is itself not a char,

  • there is no such thing, technically, as a char in Python.

  • You have only strings of length 1.

  • And this is why single quotes no longer have any special meaning.

  • It turns out c is technically just a one-character string.

  • Strings are what we've started calling objects,

  • which is a fancier name for struct.

  • So inside of an object like a string is functionality.

  • And we saw one piece of functionality earlier, which was what?

  • Not length, though that is another one.

  • It was format.

  • We saw it briefly.

  • But when I did the string.format, I proposed

  • that there's actually built-in functionality

  • to a string called format.

  • Well, you know what?

  • It turns out there is a method or function inside of the string

  • class also called isupper.

  • And I can ask the very string I'm looking at that question

  • by saying if c.isupper is true, then go ahead and append c to initials.

  • So in C, if initials were technically a string,

  • how could you go about appending another character to a string in C?

  • AUDIENCE: c.append?

  • DAVID MALAN: Not in C. In C. So in C, the language.

  • OK, so what's a string in C?

  • A string in C is a sequence of characters,

  • the last one of which is backslash 0.

  • All right.

  • So it's an array of characters, last of which is backslash 0.

  • So if I, for instance, typed in my first name, "David,"

  • and now I want to append "Malan" to the end of it, how do I do that in C?

  • AUDIENCE: [INAUDIBLE]

  • DAVID MALAN: Exactly.

  • It's like an utter pain in the neck.

  • You have to create a new array that's bigger, that can fit both words,

  • copy the "David" into the new array, then copy the last name in, then put

  • the null terminator at the new array, then free,

  • probably, the original memory.

  • I mean, it's a ridiculous number of hoops to jump through.

  • And you've done this on occasion, especially for things like, perhaps,

  • problem set five.

  • But my god, we're kind of past that.

  • Just go ahead and append to the array the character you care about.

  • So in this case, not an array, but a list.

  • Sorry, not an array but a string object that's initially blank.

  • It turns out that Python supports this syntax--

  • plus equals typically means arithmetic and add one number to another.

  • But it also means append.

  • So you can simply append to initials by doing plus equals c, one

  • additional character.

  • So even though the string starts like this, and this big in memory,

  • it's then going to grow for one character,

  • grow, grow, grow, grow, until it has all of the user's initials.

  • And as for where that memory is coming from, who cares?

  • This is the point that we're now past.

  • You leave it to the language.

  • You leave it to the computer to start to manage those details.

  • And yes, if it needs to call malloc, fine.

  • Do it.

  • Don't bother me with that detail.

  • We can now start thinking and writing code sort

  • of conceptually at this level, instead of at this level.

  • So again, we're sort of abstracting away what a string even is

  • and leaving it to the language itself.

  • So if I now go ahead and run python of initials.py and type

  • in, for instance, "Maria Zlatkova" here, with a capital M and a capital Z,

  • I then see her names because I've plucked out the middle initials.

  • And if we do something else, like "David J. Malan," even with a period in there,

  • it infers from the capitalization what my initials should actually be.

  • So again, a much tighter way of doing things.

  • Let me go ahead and now open up another example

  • we didn't see a few weeks ago, though it was

  • included in some of our distribution code, if you wanted to look.

  • Some weeks ago, we had this program among the distribution code,

  • where I declared an array of strings called book.

  • And I proposed that there were these several names in the phone

  • book, so to speak-- all of the past instructors of CS50

  • sorted alphabetically.

  • And then down below in this C program, I used that global variable called book

  • to implement, it seems, linear search.

  • And to implement linear search in C, I'm going to need,

  • of course, a loop to iterate over all of the strings.

  • This line 26 does exactly that.

  • I then in C, recall, had to use str compare

  • because remember we tripped over this issue

  • early on where you can't just compare two strings in C

  • because you'd be comparing, accidentally,

  • their addresses, their pointers, not the actual value.

  • So we used str compare.

  • And I could pass in the name that I'm looking for in the i'th book one

  • at a time, checking for equals zero.

  • And then I can call Mike or David or whoever

  • I'm trying to call, or just quit if the user isn't found.

  • So what did this program actually do?

  • If I go into this example, which, again, was from weeks 3,

  • and I do make linear--

  • nope, not that.

  • Wrong directory again.

  • If I go into source3 and make linear, this program

  • is supposed to behave as follows.

  • So if I go ahead and run ./linear, look for our old friend Smith,

  • it found Smith.

  • If I go ahead and search for, say, Jones, who did not previously

  • teach CS50, it says "quitting."

  • All right.

  • So meanwhile, in Python, bless its heart, we can get rid of all of that.

  • And in our source8 directory here and our subdirectory 3,

  • let me go ahead and open this instead.

  • In Python, I can declare an array, otherwise known as a list,

  • almost in the same way.

  • But what's different, just to be super clear?

  • AUDIENCE: Brackets?

  • DAVID MALAN: So the brackets are now square brackets

  • instead of curly braces.

  • And frankly, unless you statically initialized an array in C--

  • like hardcoded the values for your array in C--

  • you might not have even known you could use curly braces.

  • So that's not a huge deal here.

  • But in Python, square brackets here and here represent a list of elements,

  • literally.

  • And what else is different?

  • Didn't declare the size of the array.

  • And I technically don't have to do that in C,

  • either, if you're hardcoding all of the values all at once.

  • But there is something missing on line 7.

  • AUDIENCE: Type.

  • DAVID MALAN: Sorry?

  • AUDIENCE: The type?

  • DAVID MALAN: The type.

  • I didn't specify string.

  • But otherwise, this is pretty similar to what we've done in C.

  • But what's beautiful here--

  • and let me go ahead and hide that for just a second.

  • Let me go ahead and prompt the user for his or her name.

  • So let's ask for the name here.

  • And then if I want to search the book, which is just a list of names,

  • how do I implement linear search?

  • Well I could just do if name in book, print "Calling name."

  • And Let's make this an f string.

  • And then down here, that's it.

  • So that's how you implement linear search in Python.

  • You don't need a loop.

  • You can just ask the question yourself.

  • So if book is a list, and name is the string that you're looking for,

  • just ask the language to figure this out for you.

  • If name in book is the syntax you can use to ask literally that question.

  • And then Python will use, probably, linear search over that list

  • because it doesn't necessarily know it's sorted, even

  • though it happens to be alphabetically.

  • But it will find it for you, thereby saving us

  • a lot of the complexity and time of having had to implement that ourselves.

  • Meanwhile, if I want to compare two strings,

  • let me propose this-- let me write a quick program here, compare1.py.

  • And let me go ahead and from CS50 import get_string, as before.

  • And now let me go ahead and get one string that I'll call s.

  • And let me get another string that I shall call t,

  • just as we did a few weeks ago.

  • And now in C, this was buggy, right?

  • If I print same, else I print different.

  • So in C, just to be super clear, why was this incorrect, this general idea

  • of using equals equals?

  • Yeah, they're comparing addresses, right?

  • This was like the day before we peeled back

  • the layer of what a string actually is.

  • And it turns out that s and t in C were char stars or addresses, which

  • means certainly if you get two different strings,

  • even if you've typed the same characters,

  • you're going to be comparing two different addresses.

  • They're not going to be the same.

  • Now, you can perhaps infer from the theme of today--

  • what is Python going to do if asked if s and t are equal?

  • It's gonna answer that question as you would expect as the human.

  • Equals equals now, in Python, is going to compare s and t,

  • look at their actual values because they are strings,

  • and return same if you literally typed the same words.

  • So in here, if I go in here and I do python of compare1.py, and I type in,

  • for instance, "Maria," and then I type in "Maria," they're indeed the same.

  • If I type in "Maria" and, say, "Stelios," they're

  • different because it's actually now comparing the strings,

  • as we would have hoped some time ago.

  • So let's take a look at another that kind of

  • led to some interesting quandaries.

  • You might recall in week four, we had this example in C--

  • noswap, so named because this just did not work.

  • It was logically seemingly correct.

  • But swap did not actually swap x and y, but it did swap a and b.

  • Why?

  • AUDIENCE: The memory locations?

  • DAVID MALAN: The memory locations were different, right?

  • So x and y, recall, are variables in C that exist in a certain slice of memory

  • that we called a frame on the stack, main's frame on the stack.

  • Meanwhile, a and b are from a slightly different location in memory.

  • We sort of kept drawing it slightly above,

  • like a tray at the dining hall on the so-called stack.

  • a and b had the same values of x and y--

  • 1 and 2-- but their own copies of them.

  • So even though we logically, as with Kate, I think,

  • with the Gatorade, swapped the two values,

  • we ultimately swapped the wrong two values

  • without actually permanently mutating the original x and y.

  • So unfortunately-- well, fortunately and unfortunately in Python,

  • there is no such thing as a pointer.

  • So those are now gone.

  • So we no longer have the expressiveness with which

  • to solve this problem that way.

  • But let me propose that we do it in oh-so-clever of another way.

  • Here let me go ahead and declare x is 1, y is 2.

  • Let me go ahead and print out as much.

  • So with a format string, I'm going to go ahead and say x is x, y is y,

  • plugging in their respective values.

  • I'm going to do that twice.

  • But in between, I'm going to try to perform this swap.

  • And if your mind's ready to be blown, you

  • can do that in Python, do the old switcheroo in Python.

  • And this actually does swap the two values as you would expect.

  • Now this is not a very common case.

  • And to be fair, this is an incredibly contrived example

  • because if you needed them swapped, well,

  • maybe you should have just done this in the first place.

  • But it does speak to one of the features of Python,

  • where you can actually do something like that.

  • Let me introduce now one additional feature that we only recently

  • acquired in C. And that's the notion of a struct.

  • And let me go ahead and do this in code from scratch.

  • So let me go ahead and save this file proactively as struct0.py,

  • reminiscent of one of our older programs.

  • And let me go ahead and do this.

  • From CS50 import get_string.

  • And then let me give myself an empty list.

  • So that would be a conventional way of giving yourself

  • an empty list in Python.

  • And much like in C, you can declare an empty array.

  • But in C, you have to know the size of it

  • or, if not, you have to use a pointer.

  • And then you have to malloc.

  • No.

  • All of that is gone.

  • Now in Python, you want a list?

  • Just say you need a list.

  • And it will grow and shrink as you need.

  • Now I'm going to go ahead and just three times, arbitrarily,

  • for i in the range of 3, let me go ahead and ask

  • the user for a name using get_string.

  • And I'll ask him or her for their name.

  • Dorm will use get_string, as well.

  • Dorm here.

  • And then I want to append to the array this student.

  • So I could do something like this-- students.append name.

  • And it turns out-- and we've not said this yet.

  • But there is inside of the list data type a method--

  • that is function-- built into it called append that literally does that.

  • So if you've got an otherwise empty list,

  • and you calls that list's name dot append,

  • you'll add something to the end of the list.

  • And if there's not enough memory for it, no big deal.

  • Python will find you the memory, allocate it, move everything in it,

  • and you move on your way without having to worry about that.

  • But I don't want to store just the name.

  • I want to store the name and the dorm.

  • So I could do this.

  • I could do-- well, maybe this isn't really students.

  • Maybe this is now, like, dorms.

  • And then here I could do dorms.append dorm.

  • But why is this devolving now into bad design

  • if my goal was to associate a student with his or her dorm,

  • and then keep those values together?

  • Why is this not the best approach in Python or, back in the day, even in C,

  • to have two separate arrays?

  • AUDIENCE: Like struct?

  • DAVID MALAN: What's that?

  • AUDIENCE: Struct?

  • DAVID MALAN: Well, it's twice as many things to maintain, for sure.

  • And what else?

  • AUDIENCE: You can't map them to each other.

  • DAVID MALAN: You can't map one to the other.

  • It's just-- it's very arbitrary.

  • It's sort of this social contract that I will just

  • assume that student 0 lives in dorm 0.

  • And student 1 lives in dorm 1.

  • And that's fine.

  • And that's true.

  • But one of the features of programming and computer science

  • is this idea of encapsulation, like, associate related memory

  • with each other.

  • And so what did we do in C instead?

  • We did not have two arrays.

  • AUDIENCE: We had a struct.

  • DAVID MALAN: Yeah, we had a struct.

  • And so Python doesn't have structs per se.

  • It instead has what are called classes.

  • And it has a few other things like tuples and namedtuples,

  • but more on those some other time.

  • So it turns out I could actually implement my own notion of a student.

  • And I could import it like this.

  • The convention in Python is if you create your own struct,

  • henceforth called a class, you capitalize the name of it

  • by convention.

  • So a little different from C conventions.

  • So what is a student going to look like?

  • This is perhaps the most complex syntax that we'll have today,

  • but it just has a few lines.

  • If you want to implement the notion of a student, how might you do this?

  • Well, in Python, you literally say class Student,

  • where class is similar in spirit to-- just to be clear--

  • struct or typedef struct.

  • But in Python, we're just saying class.

  • And then this is the funky part.

  • You can declare a function that by convention must be called init

  • for initialize that takes as its first argument a keyword called

  • self, and then any number of other arguments like this.

  • And then, for reasons that will hopefully be clear momentarily,

  • I can write some code inside of this method.

  • So long story short, what am I doing?

  • I have declared a new type of data structure called Student.

  • And implicitly inside of this data structure,

  • there are two things inside of itself--

  • something called name and something called dorm.

  • And this is how you would in a C struct typically do

  • things with the data types and semicolons inside of the curly braces.

  • Meanwhile, there's this method here.

  • And it's a method insofar as it is inside of a class.

  • Otherwise it's a function, just by a different name.

  • This method init takes whatever self is-- more on that another time.

  • But it then takes zero or more custom arguments that you can provide.

  • And I called it name and dorm.

  • So it turns out this special method init is

  • a function that's going to be called automatically for you any time you

  • create a student object.

  • So what does that actually mean?

  • That means in your code, what you can actually do is this.

  • I can create a student in memory by saying s gets capital Student, passing

  • in name and dorm.

  • And we don't have this feature in C.

  • On the right-hand side, what I've highlighted

  • is the name of the class and its two arguments--

  • name and dorm, which are just what the user has typed in.

  • What this class does for me now is it allocates memory

  • underneath the hood for a Student.

  • It's got to be big enough for their name and big enough for their dorm.

  • So it's, like, yay big in memory, so to speak.

  • It then puts in the name and the dorm strings into that object,

  • and then returns the whole object.

  • So you can kind of think of this as a much fancier version of malloc.

  • So this is allocating all the memory you need.

  • But it's also installing inside of that memory the name and the dorm.

  • And it's bundling it up inside of not just an arbitrary chunk of memory,

  • but something you can call a Student object.

  • And all that means that now for our students,

  • we can just go ahead and append that student to the list.

  • So now if later I want to iterate over for student in students,

  • I can go ahead and print out, for instance, that student.name

  • lives in student.dorm, close quote.

  • And if now over here--

  • whoops, close that.

  • Now over here, if I go ahead and run python on struct0.py--

  • oh, no!

  • Oh, thank you.

  • That goes there.

  • So now-- dammit.

  • Missing curly-- oh, thank you.

  • OK.

  • So now if I want to go ahead and type "Maria" and "Cabot" and "David"

  • and "Mather" and "Rob" and, say, "Kirkland," now we get all three

  • of those names.

  • And there's other ways, too, if we wanted

  • to actually store this thing on disk.

  • But I'll defer that to an example online.

  • Let's look at one final example that will hopefully

  • either make you regret the past several weeks

  • or embrace the next several instead.

  • So you'll recall that--

  • though the former, I suppose, could be true even without my help.

  • So if I go into now today's distribution code, you will see this program.

  • And we won't walk through all of its lines.

  • But this is a program written in Python called speller.

  • And what I did was literally sit down with speller.c from problem set 5.

  • And I just converted it from left to right, from C to Python,

  • implementing it in Python in as close to an identical way as I could,

  • just using features of Python.

  • So just skimming this, you'll see that apparently my implementation of speller

  • in Python has a class called Dictionary which is very similar in spirit

  • to dictionary.h in C Notice that I still have a constant here.

  • Or it's not technically a constant, but a variable called length equals 45.

  • I hardcoded in dictionary/large, as speller.c did, too.

  • I'm using command-line arguments, as we saw earlier,

  • but this time in Python instead of C.

  • Notice you can do funky things like this,

  • which is reminiscent of our swap trick just a little bit ago.

  • If you want to declare multiple variables all on the same line

  • and initialize them, you can just enumerate them all with commas.

  • Then on the other side of the equal sign,

  • enumerate with commas the values that you want to assign to those variables.

  • And then down here, if I keep scrolling, you'll

  • see code that we won't get into the weeds of, but some familiar phrases.

  • So this is the program that actually runs a student's dictionary

  • on some input, and then prints out per all of this stuff at the bottom

  • all of the familiar phrases that you might recall from problem set five.

  • So this took a lot of work, most likely, to implement in C. And understandably,

  • you might have used a linked list initially,

  • or ultimately you might have used a hash table or a try

  • or struggled with something in between those two.

  • And that is a function of C. C is difficult.

  • C is challenging because you have to do everything yourself.

  • An upside, though, of it is that you end up getting a lot of great performance,

  • theoretically.

  • Once you have implemented the code, you're kind of as close to the hardware

  • as possible.

  • And so your code runs pretty darn well and is dependent

  • only then on your algorithms, not on your choice of language.

  • So here let me go ahead and implement a file called dictionary.py.

  • And let me propose that the words--

  • the equivalent, sorry, of dictionary.h would be this file here.

  • And it's going to have a function called check,

  • which takes in an argument called word.

  • It's going to have a function called load, which

  • takes in an argument called dictionary.

  • It's going to have a method called size, which takes

  • in no arguments other than itself.

  • And then it's going to have a method called unload,

  • which also takes no arguments other than itself.

  • So if we were instead to have assigned problem set five in Python,

  • we essentially would have given you a file called dictionary.py

  • with these placeholders for you because recall in pset five,

  • those were all to dos.

  • Strictly speaking, there would be one other here.

  • We would probably have a def init because every class in Python,

  • we'll see, we'll typically have this init method,

  • where we just are able to do something to initialize the data structure.

  • So let me go ahead and do this.

  • We don't know that much Python yet.

  • And we're taking for granted that speller in fact, works.

  • But let me go ahead and load some words in a dictionary.

  • So here is my method called load.

  • Dictionary is going to be the name of the dictionary to load.

  • So you guys implemented this yourself by loading those files from disk.

  • In Python, I'm going to do this as follows.

  • Give me a file and open it in read mode.

  • Iterate over each line in the file.

  • Then go ahead and add to my set called words

  • the result of that line by stripping off the end of it backslash 0.

  • Then go ahead and close the file, and then return true

  • because I'm done implementing load.

  • So that is the load method in Python.

  • Happy, yes.

  • OK.

  • So check.

  • Check was a struggle, too, right?

  • Because once you had your hash table, or once you had your try, now

  • you had to actually navigate that structure in memory,

  • maybe recursively, maybe iteratively, following lots

  • of pointers and the like, following a linked list.

  • How about I just do--

  • let's just say if word lowercase in self.words, return true.

  • Else return false.

  • Done.

  • So that one's done.

  • Size-- we actually can kind of infer how to do this.

  • Return the length of the words.

  • That's done.

  • Unload-- don't have to worry about memory in Python, so that's done.

  • And there you have a problem set five.

  • [APPLAUSE]

  • Thank you.

  • So what then are the takeaways?

  • Either great elation that you now have this power or great sadness

  • that you had to implement this first in C. But this was really

  • ultimately meant to be thematic.

  • Hopefully moving forward, even if you struggled with any number of these

  • topics-- linked lists and hash tables and pointers and the like--

  • hopefully you have a general understanding

  • of some of these fundamentals and what computers

  • are doing underneath the hood.

  • And now with languages like Python and soon with JavaScript and SQL,

  • with a little bit of HTML and CSS mixed in for our user interfaces,

  • do you have the ability to now solve problems,

  • taking for granted both your understanding of those topics

  • and the reality that someone else has now implemented those concepts for you

  • so that when it comes to solving problem sets six and seven and eight,

  • and then leaving CS50 and solving problems in your own domain,

  • you have so many more tools in your toolkit.

  • And the goal really for you is going to be to pick

  • whichever one is most appropriate.

  • So let's adjourn here.

  • I'll stick around for questions.

  • And we'll see you next time.

  • Best of luck on the test.

[MUSIC PLAYING]

字幕與單字

單字即點即查 點擊單字可以查詢單字解釋

B1 中級 美國腔

CS50 2017--閱讀8--Python (CS50 2017 - Lecture 8 - Python)

  • 68 8
    小克 發佈於 2021 年 01 月 14 日
影片單字