What Are The Different Operators In Python?

In Python, operators are used to perform various operations on data. Here are the different types of operators in Python:

1. Arithmetic Operators:

Arithmetic operators are used to perform mathematical operations. Here are the arithmetic operators in Python:

• Addition (+)
• Subtraction (-)
• Multiplication (*)
• Division (/)
• Modulo (%)
• Exponentiation (**)
• Floor Division (//)

2. Comparison Operators:

Comparison operators are used to compare values. They return a Boolean value (True or False) depending on whether the comparison is true or false. Here are the comparison operators in Python:

• Equal to (==)
• Not equal to (!=)
• Greater than (>)
• Less than (<)
• Greater than or equal to (>=)
• Less than or equal to (<=)

3. Logical Operators:

Logical operators are used to combine Boolean expressions. They return a Boolean value (True or False) depending on the result of the logical operation. Here are the logical operators in Python:

• And (and)
• Or (or)
• Not (not)

4. Assignment Operators:

Assignment operators are used to assign values to variables. Here are the assignment operators in Python:

• Assignment (=)
• Addition Assignment (+=)
• Subtraction Assignment (-=)
• Multiplication Assignment (*=)
• Division Assignment (/=)
• Modulo Assignment (%=)
• Exponentiation Assignment (**=)
• Floor Division Assignment (//=)

5. Membership Operators:

Membership operators are used to test if a value is a member of a sequence (such as a list or tuple). Here are the membership operators in Python:

• In
• Not in

6. Identity Operators:

Identity operators are used to test if two variables refer to the same object. Here are the identity operators in Python:

• Is
• Is not

Conclusion

Understanding the different operators in Python is essential for performing various operations on data in your programs. By knowing the types of operators available in Python, you can choose the appropriate operator for your specific use case and perform the desired operation on your data. As you become more proficient in Python, you can explore more advanced operators and techniques for manipulating data in your programs.