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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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Arithmetic in Python V2 || Python Tutorial || Learn Python Programming

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林宜悉 posted on 2020/03/09
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