本文所述为Python3的基本运算符,是学习Python必须掌握的,共享给大家参考一下。具体如下:
首先Python中的运算符大部分与C语言的类似,但也有很多不同的地方。这里就大概地罗列一下Python 3中的运算符。
一、算术运算符
注意:
双斜杠 // 除法总是向下取整。
从符点数到整数的转换可能会舍入也可能截断,建议使用math.floor()和math.ceil()明确定义的转换。
Python定义pow(0, 0)和0 ** 0等于1。
二、比较运算符
运算符 | 描述 |
---|---|
小于 | |
小于或等于 | |
> | 大于 |
>= | 大于或等于 |
== | 等于 |
!= | 不等于 |
is | 判断两个标识符是不是引用自一个对象 |
is not | 判断两个标识符是不是引用自不同对象 |
注意:
八个比较运算符优先级相同。
Python允许x 复数不能进行大小比较,只能比较是否相等。
三、逻辑运算符
运算符 | 描述 | 备注 |
---|---|---|
x or y | if x is false, then y, elsex | |
x andy | if x is false, then x, elsey | |
not x | if x is false, then True,elseFalse |
注意:
or是个短路运算符,它只有在第一个运算数为False时才会计算第二个运算数的值。
and也是个短路运算符,它只有在第一个运算数为True时才会计算第二个运算数的值。
not的优先级比其他类型的运算符低,所以not a == b相当于not (a == b),而 a == not b是错误的。
四、位运算符
运算符 | 描述 | 备注 |
---|---|---|
x | y | 按位或运算符 | |
x ^ y | 按位异或运算符 | |
x & y | 按位与运算符 | |
x n | 左移动运算符 | |
x >> n | 右移动运算符 | |
~x | 按位取反运算符 |
五、赋值运算符
复合赋值运算符与算术运算符是一一对应的:
六、成员运算符
Python提供了成员运算符,测试一个元素是否在一个序列(Sequence)中。
运算符 | 描述 |
---|---|
in | 如果在指定的序列中找到值返回True,否则返回False。 |
not in | 如果在指定的序列中没有找到值返回True,否则返回False。 |

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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