Home Backend Development Python Tutorial Revealing the pip domestic image configuration method to solve the problem of slow download speed for you

Revealing the pip domestic image configuration method to solve the problem of slow download speed for you

Jan 17, 2024 am 11:08 AM
Solution pip source configuration method Slow download

Revealing the pip domestic image configuration method to solve the problem of slow download speed for you

The pip domestic source configuration method is revealed, allowing you to easily solve the problem of slow downloads

With the popularity and popularity of Python, more and more developers are starting to Use pip as a management tool for Python packages. However, when using pip to download software packages in China, you often encounter the problem of slow download speed. This is because pip uses foreign software sources by default. In order to solve this problem, we need to configure domestic software sources.

This article will reveal the configuration method of pip domestic source and help you easily solve the problem of slow downloading. The following are specific configuration steps and code examples:

Step 1: Back up the pip configuration file

Before configuring, we need to back up the pip configuration file first, so that if there is a problem with the configuration Ability to restore original configuration. You can use the following command to back up the configuration file: "pip config backup ", for example: "pip config backup /path/to/pip.conf".

Step 2: View the current configuration

Use the following command to view the current pip configuration: "pip config list".

Step 3: Edit the pip configuration file

Use a text editor to open the pip configuration file. The file is usually located in the user directory. If you cannot find it, you can try using the following in the terminal. Command search: "pip config -v global".

Paste the following content into the configuration file:

[global]
index-url = URL of domestic source

Among them, you can choose the following commonly used URLs for domestic sources:

University of Science and Technology of China https://pypi.mirrors.ustc.edu.cn/simple/
Douban (douban) https: //pypi.doubanio.com/simple/
Tsinghua University https://pypi.tuna.tsinghua.edu.cn/simple/
Alibaba Cloud http://mirrors.aliyun.com/pypi/simple/

You can choose one of them according to your personal preference and copy its URL to the index-url item in the configuration file.

Step 4: Save and exit the configuration file

Save and exit the configuration file.

Step 5: Verify the configuration results

Use the following command to verify the configuration results: "pip config list".

Now, you have successfully configured the domestic source of pip. Here are some additional tips and considerations:

If you need to use other trusted sources, you can add multiple source addresses after the domestic source, for example:

index-url = domestic Source URL

        其他源的URL
Copy after login

This can improve the success rate of downloading the software package.

If you still encounter slow speed problems during the download process, you can try switching to different domestic sources to provide download speed.

When you start using pip to download packages, you can use the following command to disable SSL certificate verification, which will increase download speed:

"pip install --trusted-host=pypi.python .org --trusted-host=pypi.org --trusted-host=files.pythonhosted.org package name"

Please note that disabling SSL certificate verification may pose certain security risks. Please operate in a secure environment operate.

Summary:

By configuring the domestic source of pip, we can easily solve the problem of slow downloads and improve the download speed of software packages. This article provides specific configuration steps and code examples, hoping to help developers who are using pip. If you encounter problems during the configuration process, please back up the original configuration file in time so that you can restore the original configuration. I wish you a smooth journey in Python development!

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