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Introduction
Python is a widely-used, high-level programming language that is known for its readability and ease of use. As a Python developer, it is important to understand how Python's operator precedence rules affect the way expressions are evaluated. This tutorial will cover the basics of operator precedence in Python. By the end of this tutorial, you will have a solid understanding of operator precedence in Python, which will make it easier for you to write clean, efficient code that gets the job done.
Table of Contents :
- What is Operators Precedence?
- Precedence of operators in Python
What is Operators Precedence?
- An expression can be a combination of several operators and sub-expressions.
- To evaluate such an expression correctly, the interpreter should know which operator should be evaluated first.
- This order of evaluation is determined by operator precedence.
Precedence of operators in Python
- The following tables shows python operator precedence from highest to lowest.
| Operator | Meaning |
|---|---|
| () | Parenthesis (Highest Precedence) |
| ** | Exponent |
| +x, -x ,~x | Unary plus, Unary Minus, Bitwise negation |
| *, /, //, % | Multiplication, Division, Floor division, Modulus |
| +, - | Addition, Subtraction |
| <<, >> | Bitwise shift operator |
| & | Bitwise AND |
| ^ | Bitwise XOR |
| | | Bitwise OR |
| ==, !=, >, >=, <, <= | Comparison |
| is, is not, in, not in | Identity, Membership |
| not | Logical NOT |
| and | Logical AND |
| or | Logical OR (Lowest Precedence) |
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