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Comparing domestic sources: Which is the best pip source?
As people use the Python language more and more widely, pip has become the first choice for Python package management tools. However, due to the limitations of the domestic network environment, using the default pip source often encounters problems with slow download speeds or even connection timeouts. In order to solve this problem, some high-quality pip sources have appeared in China. This article will compare several of them and give specific code examples.
pip config set global.index-url https://pypi.douban.com/simple
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip config set global.index-url https://mirrors.aliyun.com/pypi/simple
Through the above comparison of several commonly used domestic pip sources, we can choose the appropriate source according to our network environment and needs. The following is an example that demonstrates how to use Tsinghua source to install Python packages:
# 配置清华源 pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple # 使用清华源进行安装 pip install numpy
When configuring the source, please note that using the pip config set command will configure the source to the .pip/pip.conf file in the user's home directory. , you can directly modify the source by editing this file. Without any configuration, pip will use the default official source (https://pypi.org/simple/).
It should be noted that although the above pip sources are better choices, they are services provided by third parties after all. Different sources may have problems at certain times, such as source address changes. , service interruption, etc. At this time, you can switch to other available sources in time as needed.
To sum up, by comparing several commonly used pip sources in China, we can choose the most suitable source according to our own needs to improve the download speed and installation efficiency of Python packages. In actual use, you can flexibly switch sources as needed to ensure stable and reliable acquisition of the required Python packages.
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