Python modules: functions/classes/variables and constants/annotations/import and use

Hello everyone, I am Brother Latiao! In this issue, I was invited to write some related content about Python modules~

A Python module is a way of organizing Python code by putting related code in a single file for easy reuse and maintenance. Python modules can contain functions, classes, variables, and constants, etc., and can be imported and used by other Python programs.

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1. Function:

Multiple functions can be defined in a Python module, and these functions can be called and used by other Python programs. Functions can accept parameters and return values, and can implement various functions.

2. Class:

Classes can be defined in Python modules. Classes are an object-oriented programming method that can encapsulate data and methods to achieve code reuse and extension.

3. Variables and constants:

Variables and constants can be defined in Python modules. Variables can store data, and constants are immutable data that can be used to store fixed values ​​in programs.

4. Comments:

Comments can be added to Python modules, which can improve the readability and maintainability of the code.

5. Import and use:

Python modules can be imported and used by other Python programs. You can use the import statement to import modules, and use functions, classes, variables, and constants in the modules.
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1. The concept of modules

In Python, a module is a file that contains Python code. Modules can contain Python objects such as functions, classes, and variables, and can be imported and used by other Python programs. The Python standard library contains a large number of modules, such as math, random, os, etc.

2. Module import

In Python, modules can be imported using the import statement. For example, to import the math module, the following statement can be used:

import math

It is also possible to import specific objects within a module using the from statement. For example, to import the pi constant and the sin function from the math module, the following statement can be used:

from math import pi, sin

3. The namespace of the module

In Python, each module has its own namespace, and objects such as functions, classes, and variables defined in the module belong to this namespace. Objects in a module can be accessed using the module name followed by a dot. For example, to access the pi constant in the math module, the following statement can be used:

import math
print(math.pi)

4. Module search path

In Python, when importing a module, the Python interpreter searches for the location of the module in a certain order. The search path includes the current directory, the directory specified by the PYTHONPATH environment variable, the site-packages directory under the Python installation directory, and so on. You can use the path variable of the sys module to view the search path of the current Python interpreter.

5. Custom modules

In Python, you can customize modules to organize your own code. The file name of a custom module must be suffixed with .py and can contain Python objects such as functions, classes, and variables. Custom modules can be imported and used by other Python programs. To import custom modules, you can use the import statement. For example, to import a custom module named mymodule, the following statement can be used:

import mymodule

The above is a detailed explanation of the concept, import, namespace, search path and custom modules of Python modules.

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Origin blog.csdn.net/AI19970205/article/details/130476663