Detailed explanation of modules in Python-Python Tutorial-php.cn

Detailed explanation of modules in Python

王林

Release： 2023-06-10 11:30:08

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Python is a powerful programming language, and its modular design is an important feature of it. In Python, modules are a way of organizing code so that code with similar functionality can be put together for reuse. Python provides a rich standard module library, and we can also write our own modules and introduce them into Python code for use.

This article will provide an in-depth introduction to modules in Python, including how to create modules, how to import modules, and how to use third-party modules.

Create a module

In Python, any .py file can become a module. We can put some related functions in the same .py file to achieve modularity. Take a module named mymodule.py as an example. This module defines a greet() function:

def greet(name):
    print(f"Hello, {name}!")

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can be passed ## in other Python files #import statement to use this module:

import mymodule

mymodule.greet("John")

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This will output

Hello, John!

Also, we can also use

from mymodule import greet way to only import the greet function, so that we can directly use the greet() function:

from mymodule import greet

greet("John")

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Import module

In Python, we can use different ways to import modules, the most common of which is to use the

import statement. For example, we can use the following statement to import the math module in the Python standard module:

import math

print(math.sqrt(16))

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This will output

4.0, which is 16 square root.

We can also use the

from ... import ... statement to import specified functions or variables from the module. For example, if we only need to use the sqrt function in the math module, we can use the following statement:

from math import sqrt

print(sqrt(16))

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This will output

4.0.

When we encounter a module name that is long or difficult to spell, we can also give the module an alias. For example, we can use

import numpy as np to give the numpy module the np alias:

import numpy as np

a = np.array([1, 2, 3])
print(a)

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This will output

[ 1 2 3].

Introducing third-party modules

The Python community provides a large number of third-party libraries that can easily extend the functions of Python. To use third-party modules, you need to install them through the

pip tool first.

For example, we can use the following command to install the

requests library:

pip install requests

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After the installation is complete, you can use the

requests library in Python. For example, we can send a GET request to http://example.com/ through the following code:

import requests

response = requests.get('http://example.com/')
print(response.text)

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Note that when we use a third-party library, we need to ensure that it has been installed and imported correctly in the code. If the specified module is not found, you may need to set the

sys.path variable to a list containing the path to the module.

Summary

In Python, modules are a convenient way to organize and reuse code. We can use the

import statement to import functions and variables in other modules, or we can use the from ... import ... statement to import specified functions or variables. Additionally, you can add the module's path to the sys.path variable to support importing custom or third-party modules. There are a large number of third-party libraries in the Python community that can easily extend the functions of Python. Using these libraries can greatly improve our programming efficiency and code reusability.

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