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 And Types



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.

  1. Python Arithmetic operators.
  2. Python Assignment operators.
  3. Python Bitwise operators.
  4. Python Comparison operators.
  5. Python Identity operators.
  6. Python Logical operators.
  7. Python Membership operators.

 

 


Arithmetic Operators In Python

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

Operator Name Example Try it
+ Addition a + b Execute
Subtraction a – b Execute
* Multiplication a * b Execute
/ Division a / b Execute
% Modulus a % b Execute
** Exponentiation a ** b Execute
// Floor division a // b Execute

 


Assignment Operators In Python

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

Operator Example Same As Try it
= mrx = 9 mrx = 9 Execute
+= mrx += 9 mrx = mrx + 9 Execute
-= mrx -= 9 mrx = mrx – 9 Execute
*= mrx *= 9 mrx = mrx * 9 Execute
/= mrx /= 9 mrx = mrx / 9 Execute
%= mrx %= 9 mrx = mrx % 9 Execute
//= mrx //= 9 mrx = mrx // 9 Execute
**= mrx **= 9 mrx = mrx ** 9 Execute
&= mrx &= 9 mrx = mrx & 9 Execute
|= mrx |= 9 mrx = mrx | 9 Execute
^= mrx ^= 9 mrx = mrx ^ 9 Execute
>>= mrx >>= 9 mrx = mrx >> 9 Execute
<<= mrx <<= 9 mrx = mrx << 9 Execute

 


Bitwise Operators In Python

(Binary) numbers are compared using bitwise operators:

Operator Name Overview
& AND If both bits are 1, then each bit is assigned to 1.
| OR If one of two bits is 1, then each bit is assigned to 1.
 ^ XOR If only one bit of two is 1, sets each bit to 1.
~ NOT All bits are inverted.
<< Zero fill left shift Let the leftmost bits fall off by pushing zeros in from the right.
>> Signed right shift The 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.

Operator Overview Example Try it
and If both statements are true, returns True mrx < 4 and  mrx < 9 Execute
or True if any of the statements are true mrx < 6 or mrx < 3 Execute
not Inverse the result, returns False when it is true not(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.

Operator Name Example Try it
== Equal mrx == varb Execute
!= Not equal mrx != varb Execute
> Greater than mrx > varb Execute
< Less than mrx < varb Execute
>= Greater than or equal to mrx >= varb Execute
<= Less than or equal to mrx <= varb Execute

 


Membership Operators In Python

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

Operator Overview Example Try it
in An object containing the given sequence will return True if it contains that sequence. mrx in a Execute
not in Returns True if the object does not contain the given sequence. mrx not in a Execute

 

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:

Operator Overview Example Try it
is If both variables are the same object, True will be returned. mrx is a Execute
is not True if both variables are not the same. mrx is not a Execute

 


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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