Proficient in Python operator priority order and easily master programming skills

Understand the priority order of Python operators and easily master programming skills, you need specific code examples

In Python programming, it is very important to understand the priority order of operators , it can help us write code correctly and avoid errors caused by operator precedence. This article will introduce the order of Python operator precedence in detail and provide specific code examples to help readers better understand and master programming skills.

First, let us understand the concepts of unary operators and binary operators in Python. Unary operators refer to operators that only accept one input operand, such as positive sign ( ) and negative sign (-); while binary operators require two operands to perform operations, such as plus sign ( ), minus sign ( -), multiplication sign (*), division sign (/), etc.

In Python, the priority of an operator is represented by a number. The smaller the number, the higher the priority. The following is the order of precedence from high to low for common operators in Python:

1. Brackets: ()
2. Power operator: **
3. Unary Addition and subtraction: x, -x
4. Multiplication, division and remainder: *, /, %
5. Addition and subtraction: , -
6. Bitwise left shift sum Right shift: >
7. Bitwise AND: &
8. Bitwise XOR: ^
9. Bitwise OR: |
10. Comparison operators: , =, ==, !=
11. Logical NOT: not
12. Logical AND: and
13. Logical OR: or

Now, let us understand the order of operator precedence through concrete code examples.

# 示例1: 括号的优先级最高，先计算括号内的表达式
result = (1 + 2) * 3
print(result)  # 输出结果为 9

# 示例2: 幂运算符的优先级高于乘法运算符
result = 2 ** 3 * 4
print(result)  # 输出结果为 32

# 示例3: 一元减号的优先级高于乘法运算符
result = -2 * 3
print(result)  # 输出结果为 -6

# 示例4: 乘法运算符的优先级高于加法运算符
result = 2 + 3 * 4
print(result)  # 输出结果为 14

# 示例5: 按位左移和按位右移的优先级
result = 5 << 2 + 1
print(result)  # 输出结果为 40

# 示例6: 比较运算符的优先级
result = 1 + 2 < 3 - 4
print(result)  # 输出结果为 False

# 示例7: 逻辑非、逻辑与和逻辑或的优先级
result = not True or False and True
print(result)  # 输出结果为 False

Through the above code example, we can clearly see the precedence order of operators in expressions. Understanding operator precedence can help us write code that is more concise, efficient, and easy to understand.

To summarize, mastering the precedence order of Python operators is very important for writing correct code. By understanding and applying operator precedence, we can avoid errors caused by operator order and write more elegant and efficient code. I hope this article will help readers understand the priority order of Python operators and master programming skills in practice.

The above is the detailed content of Proficient in Python operator priority order and easily master programming skills. For more information, please follow other related articles on the PHP Chinese website!