Python Operators

We will learn how to use Python operators with examples in this article, including their syntax and types. We hope that it will contribute to our educational goals.

Python Operators Usage

The Python Operators permit variables and values to be operated upon.

Operators are symbols with specific purposes.

Here is an example of adding two values simultaneously with the + operator:

Execute by clicking here

Example

print(6 + 6)

Below is a list of different types of Python operators that we will be learning.

Arithmetic Operators In Python

In Python, we use arithmetic operators to perform common mathematical operations on numeric values:

OperatorNameExampleTry it
Subtractiona – bExecute
*Multiplicationa * bExecute
/Divisiona / bExecute
%Modulusa % bExecute
**Exponentiationa ** bExecute
//Floor divisiona // bExecute

Assignment Operators In Python

Python operators are the building blocks of the language. Values are assigned to variables using assignment operators:

OperatorExampleSame AsTry it
=mrx = 9mrx = 9Execute
+=mrx += 9mrx = mrx + 9Execute
-=mrx -= 9mrx = mrx – 9Execute
*=mrx *= 9mrx = mrx * 9Execute
/=mrx /= 9mrx = mrx / 9Execute
%=mrx %= 9mrx = mrx % 9Execute
//=mrx //= 9mrx = mrx // 9Execute
**=mrx **= 9mrx = mrx ** 9Execute
&=mrx &= 9mrx = mrx & 9Execute
|=mrx |= 9mrx = mrx | 9Execute
^=mrx ^= 9mrx = mrx ^ 9Execute
>>=mrx >>= 9mrx = mrx >> 9Execute
<<=mrx <<= 9mrx = mrx << 9Execute

Bitwise Operators In Python

(Binary) numbers are compared using bitwise operators:

OperatorNameOverview
&ANDIf both bits are 1, then each bit is assigned to 1.
|ORIf one of two bits is 1, then each bit is assigned to 1.
^XORIf only one bit of two is 1, sets each bit to 1.
~NOTAll bits are inverted.
<<Zero fill left shiftLet the leftmost bits fall off by pushing zeros in from the right.
>>Signed right shiftThe rightmost bits should fall off as the leftmost bits are pushed in from the left.

Logical Operators In Python

Logical operators can be used to combine conditional statements. Logic operators AND, Not, and Or are used in the examples below.

OperatorOverviewExampleTry it
andIf both statements are true, returns Truemrx < 4 and  mrx < 9Execute
orTrue if any of the statements are truemrx < 6 or mrx < 3Execute
notInverse the result, returns False when it is truenot(mrx < 3 and mrx < 8)Execute

Comparison Operators In Python

Python operators apply comparison operators to make comparisons between two values. A comparison of mrx and varb is performed below by employing the > comparison operator.

OperatorNameExampleTry it
==Equalmrx == varbExecute
!=Not equalmrx != varbExecute
>Greater thanmrx > varbExecute
<Less thanmrx < varbExecute
>=Greater than or equal tomrx >= varbExecute
<=Less than or equal tomrx <= varbExecute

Membership Operators In Python

To determine whether a sequence is present in an object, membership operators are applied:

OperatorOverviewExampleTry it
inAn object containing the given sequence will return True if it contains that sequence.mrx in aExecute
not inReturns True if the object does not contain the given sequence.mrx not in aExecute

Identity Operators In Python

The purpose of identity operators is to determine if two objects are actually the same object located at the same memory address, not if they are equal:

OperatorOverviewExampleTry it
isIf both variables are the same object, True will be returned.mrx is aExecute
is notTrue if both variables are not the same.mrx is not aExecute

Python Operators Importance

Following are the importance of Python Operators:

1. Booleans allow for decision-making in Python by evaluating conditions and determining whether certain code blocks should be executed based on the truth or falsehood of those conditions.
2. Booleans are used to control the flow of loops in Python. They help determine whether a loop should continue iterating or terminate based on the truth value of a condition.
3. Booleans are used to compare values and perform logical operations. They enable evaluating expressions, checking for equality, inequality, greater than or less than relationships, and combining conditions using logical operators such as “and,” “or,” and “not.”
4. Booleans can be used to indicate error conditions or exceptional cases in Python. They help in detecting errors, validating inputs, and handling exceptional situations in code execution.
5. Booleans are vital for writing tests and assertions. They allow for checking the expected behavior of code, verifying conditions, and validating the correctness of program output.
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