What is the precedence of operators in Python?
Python > Operators in Python > Python Operators Introduction
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Answer:
- Operator precedence refers to the order in which Python evaluates operators in an expression.
- The precedence of operators in Python is determined by their priority or hierarchy, which specifies which operators should be evaluated first in an expression.
- For example, multiplication and division have a higher priority than addition and subtraction, so they will be evaluated first in an expression that contains both types of operators.
- Operators with higher precedence are evaluated before operators with lower precedence.
- If operators have the same precedence, then their evaluation order is determined by their associativity, which specifies whether the operators are evaluated from left to right or from right to left.
- The table below shows the precedence of operators in Python, from highest to lowest:
Precedence | Operator | Description |
---|---|---|
1 | () | Parentheses (grouping) |
2 | +x, -x | Positive, negative |
3 | ** | Exponentiation |
4 | *, /, //, % | Multiplication, division, floor division, modulus |
5 | +, - | Addition, subtraction |
6 | <<, >> | Bitwise shift operators |
7 | & | Bitwise AND |
8 | ^ | Bitwise XOR |
9 | | | Bitwise OR |
10 | <, <=, >, >= | Comparison operators |
11 | ==, != | Equality operators |
12 | not | Logical NOT |
13 | and | Logical AND |
14 | or | Logical OR |
15 | if else | Conditional expression |
16 | =, +=, -=, *=, /=, //=, %=, &=, ^=, |=, <<=, >>= | Assignment operators |
- The above table shows the most commonly used operators in Python, but there are additional operators that have different precedence levels based on their type and use-case.
- It's important to be aware of operator precedence when writing complex expressions to ensure that the order of operations is correct and produces the desired result.
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