Table of Contents
Solve.ReadTimeoutError: HTTPSConnectionPool(host=’pypi.tuna.tsinghua.edu.cn’, port=443): Read timed out
Method 1: Increase the timeout
Method 2: Change pip source
Method 3: Use domestic image accelerator
Solution.ReadTimeoutError: HTTPSConnectionPool(host=’pypi.tuna.tsinghua.edu.cn’, port=443): Read timed out
In Python development, we often use third-party libraries to meet various needs. When we use pip to install these libraries, we may sometimes encounter some network problems, especially when using domestic sources. One of the common problems is “.ReadTimeoutError: HTTPSConnectionPool(host=’pypi.tuna.tsinghua.edu.cn’, port=443): Read timed out” error. This error is usually caused by the connection to the pip source timing out. To solve this problem, we can try the following methods:
Method 1: Increase the timeout
By increasing pip’s timeout, we can give pip more time to establish a connection to the source. Open a command prompt or terminal window and execute the following command:
plaintextCopy codepip install --default-timeout=1000 <package-name>
??? here is the name of the package you want to install, such as ??numpy?? or ??pandas??. By setting the default timeout to 1000 seconds, we give pip longer to establish a connection to the source. This can solve some connection timeout problems.
Method 2: Change pip source
If the above method still cannot solve the problem, we can try to change the pip source. Commonly used pip sources in China include Tsinghua Mirror, Douban, etc. We can change the source by modifying the pip configuration file. Execute the following command to open the pip configuration file:
plaintextCopy codepip config edit
This command will open the configuration file and edit it. Find the ??[global]?? section in the file and add or modify the following lines:
plaintextCopy codeindex-url = http://pypi.douban.com/simple/
Here we change the source to Douban source. You can also choose other sources, such as Tsinghua source or Alibaba source, and change them according to your needs. Save and exit the configuration file. Now, try installing the package using pip again:
plaintextCopy codepip install <package-name>
This should allow you to successfully install the package.
Method 3: Use domestic image accelerator
Another solution is to use a domestic image accelerator. These mirror accelerators can provide faster package download speeds and usually support the https protocol. Add the ??-i?? parameter to the pip command, followed by the mirror address, such as:
plaintextCopy codepip install -i https://pypi.tuna.tsinghua.edu.cn/simple <package-name>
By specifying the image accelerator address, we can use the source of the image to speed up downloading and installing packages. This method usually solves the problem of link timeout. Summary: The methods to solve the error “.ReadTimeoutError: HTTPSConnectionPool(host=’pypi.tuna.tsinghua.edu.cn’, port=443): Read timed out” are:
- Increase the timeout of pip:?
?pip install --default-timeout=1000?? - Change the pip source: Change the source by modifying the pip configuration file.
- Use domestic image accelerator: Add the ?
?-i?? parameter to the pip command to specify the image accelerator address. Any of the above methods may resolve this error, depending on the network environment and circumstances. Hope this article is helpful to you!
Suppose you are using Python to develop a web crawler project, you need to install a third-party library??requests??to send HTTP requests. But during the installation process, you encountered the error “.ReadTimeoutError: HTTPSConnectionPool(host=’pypi.tuna.tsinghua.edu.cn’, port=443): Read timed out”. This error indicates that the connection to the Python package index source has timed out. In order to solve this problem, we can try to change the pip source or use a domestic image accelerator. Here is the sample code:
pythonCopy codeimport requests
from bs4 import BeautifulSoup
# Use the requests library to send a GET request to the specified URL
def send_request(url):
try:
response = requests.get(url)
# Check response status code
if response.status_code == 200:
return response.text
else:
return None
except requests.exceptions.RequestException as e:
print("Error sending request:", e)
return None
# Use BeautifulSoup library to parse HTML pages
def parse_html(html):
if html:
soup = BeautifulSoup(html, 'html.parser')
# Here you can perform page parsing operations
#...
# Try to use Douban source to install requests and beautifulsoup4 libraries
def install_libraries():
try:
# Use the pip command to install the requests library through Douban source
install_requests_command = "pip install -i https://pypi.douban.com/simple/ requests"
response = requests.get(install_requests_command)
if response.status_code == 0:
print("requests library installed successfully!")
else:
print("requests library installation failed!")
# Use the pip command to install the beautifulsoup4 library through Douban source
install_bs4_command = "pip install -i https://pypi.douban.com/simple/ beautifulsoup4"
response = requests.get(install_bs4_command)
if response.status_code == 0:
print("beautifulsoup4 library installed successfully!")
else:
print("Beautifulsoup4 library installation failed!")
except requests.exceptions.RequestException as e:
print("Error installing library:", e)
# Main function
def main():
url = "https://www.example.com"
html = send_request(url)
parse_html(html)
if __name__ == "__main__":
install_libraries() #Install third-party libraries
main() #Execute the main function
In the above sample code, we first define a ??send_request?? function to send GET requests using the ??requests?? library. Then we defined a ??parse_html?? function to use the ??BeautifulSoup?? library to parse the HTML page. Next, we define an ??install_libraries?? function to install ??requests?? and ??beautifulsoup4?? library, and output the installation results on the console. Finally, in the main function, we first call the ??install_libraries?? function to install the required third-party libraries, and then call ??send_request?? and ??parse_html?? function to send requests and parse pages. This sample code demonstrates how to use domestic mirror sources to solve the ??.ReadTimeoutError?? error and crawl data in actual applications. Note that in actual development, you may need to adjust and improve the code according to actual needs and conditions.
pip source refers to the software source used to download, install and manage Python packages. In Python, pip is a package management tool used to install and manage third-party libraries. The default software source used by pip is the Python Package Index (PyPI), which is the Python package index. PyPI is a public software repository that provides a large number of Python packages for developers to use. However, since PyPI is located on a foreign server, you may encounter network connection problems when using pip to download and install Python packages in China, resulting in slow or failed installation. In order to solve this problem, some domestic institutions and organizations provide their own mirror sources. Developers can configure pip sources as these mirror sources to speed up downloads and improve installation success rates. By modifying the pip source, you can redirect the package address in the pip command to the specified mirror source. Once a valid mirror source is used, pip can obtain the corresponding Python packages from these mirror sources. Commonly used domestic pip sources include Douban source, Tsinghua source, Alibaba Cloud source, etc. For example, using the ??pip install -i https://pypi.douban.com/simple/ requests?? command will download the requests library from Douban source. In actual applications, due to the instability of the network environment and network connection, you may need to try multiple mirror sources to find the one that suits you best. In addition, some mirror sources may be out of sync or have other problems, so you need to go through certain evaluation and testing when choosing a reliable mirror source. In summary, the pip source is a software source used to download, install and manage Python packages. You can modify the pip source to specify which mirror source to obtain the Python package from, in order to speed up the download speed and improve the installation success rate.
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