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  • If you use numbers in your python code, then you'll need to learn the rules of arithmetic.

  • How to add, subtract, multiply and divide.

  • Arithmetic may seem trivial, but there are some tricky details when combining numbers of different types or when dividing in.

  • This video will cover arithmetic and python version, too.

  • If you're using version three, then you'll want to watch our video for that version.

  • Let's go inversion, too.

  • There are four types of numbers in Long's floats and complex numbers and an arithmetic.

  • There are four operations addition, subtraction, multiplication and division.

  • To use arithmetic in python, you first need to understand the idea of narrower and wider types.

  • Any end can be converted to a long by adding an L at the end.

  • Another way to convert it into a long is to pass it to the long constructor.

  • But some longs air too big to be converted into ins.

  • For example.

  • On my system, 10 billion is too big to be an end.

  • Python treats it as a long see how it puts in L.

  • A.

  • The end.

  • So we say that in our in our type lungs, you can also say that longs are a wider type than ends.

  • Similarly, any long value can also be represented by a float, but not the other way around to convert along toe afloat, just at a 0.0 at the end.

  • Another way to do this is to pass a whole number two the float constructor.

  • But not all floats can be converted to longs.

  • For example, the number 3.14 is a decimal.

  • It's not a whole number if you try to change it to along.

  • The number is first rounded and then made into a long.

  • It's no longer the same number, so long as they're narrower than floats.

  • Floats are wider than lungs.

  • Lastly, any float could be made into a complex number, but not vice versa.

  • To convert afloat to a complex number just at zero J to the number or past the number to the complex constructor.

  • If you try to convert a complex number two afloat, you get a type error, so floats are narrower than complex numbers.

  • We can also say that complex numbers are wider than floats.

  • Let's recap ins are narrower than longs.

  • Longs are narrower than floats, and floats are narrower than complex numbers going in reverse.

  • Complex numbers are wider than floats.

  • Floats are wider than longs and longs are wider than its.

  • This is similar to how in mathematics integers are a subset of the real numbers, and the reels are subset of the complex numbers in Python Insane Long's both represent integers.

  • Let's now explore the four arithmetic operations in Python.

  • We'll start by creating four numbers, one for each.

  • Type A is an end, B is along, See is afloat and D is a complex number.

  • The rule of thumb is when combining two numbers of different types.

  • Python will convert the narrower type to the wider type, then perform the operation audition.

  • If we add a and B, we're adding an end and along Longs are wider than ins, so python converts a toe along than ads.

  • The result is five as a long and not five as an end subtraction.

  • If we compute C minus B, we're subtracting along from afloat Long's air narrower than floats, so python widens, be toe afloat, then subtracts.

  • The result is 3.0, which is afloat.

  • Multiplication.

  • If we multiply A and C were multiplying an end on a float floats are wider than its, so a is changed to afloat, and then the numbers are multiplied.

  • The result is 12.0 afloat division.

  • Next divide D by sea floats are now worth an complex numbers, so see is wide into a complex number.

  • Before the division, we get two plus zero J.

  • While this is the same as the intruder to Python stores it as a complex number you can tell because it has an imaginary part.

  • Don't forget that Python uses J as the square root of negative one, not I.

  • In addition to knowing what happens when combining numbers of different types, you also need to fully understand division.

  • If you were dividing two whole numbers in python, get ready.

  • The answer may not be what you would expect.

  • Look what happens if you divide 16 by five.

  • The mathematical answer is 3.2, but the Python answer is three.

  • This is because when dividing with two whole numbers, python returns the quotient, not the actual value.

  • Recall that when you divide one number by another using long division, you get two numbers.

  • A quotient on a remainder dividing whole numbers returns the quotient.

  • If you want the remainder, you use the percent operator.

  • If you do want the real number value and not just the quotient, you can convert either the numerator or denominator to afloat.

  • Don't forget the big exception in arithmetic.

  • You cannot divide by zero.

  • In math.

  • It is undefined, and in python it throws a zero division error.

  • Be careful when dividing two numbers.

  • Unless you were certain the denominator is not zero.

  • You'll have to be prepared for this possibility when combining two numbers.

  • Using addition, subtraction, multiplication or division python will wide in any numbers to make sure all values are of the same type.

  • On dividing two integers.

  • Python returns the quotient.

  • And don't forget what happens when you divide by zero.

If you use numbers in your python code, then you'll need to learn the rules of arithmetic.

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Python V2中的算術||Python教程||學習Python編程 (Arithmetic in Python V2 || Python Tutorial || Learn Python Programming)

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    林宜悉 發佈於 2021 年 01 月 14 日
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