Скачать или смотреть Resolving the CERTIFICATE_VERIFY_FAILED Error in Python

Struggling with the `CERTIFICATE_VERIFY_FAILED` error while fetching MNIST data in Python? Discover how to troubleshoot this issue effectively, even when standard solutions like installing certifi don't work.
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Overcoming the CERTIFICATE_VERIFY_FAILED Issue in Python

If you've been working with Python and encountered the dreaded CERTIFICATE_VERIFY_FAILED error while trying to download the MNIST dataset using the sklearn library, you're not alone. This common issue can be particularly frustrating, especially after trying common fixes like installing certifi. In this guide, I'll outline the problem, why it occurs, and how you can resolve it effectively.

The Problem: Understanding CERTIFICATE_VERIFY_FAILED

As you try to execute the following command to fetch the MNIST dataset:

[[See Video to Reveal this Text or Code Snippet]]

You may run into an error message like this:

[[See Video to Reveal this Text or Code Snippet]]

This error is triggered by SSL (Secure Sockets Layer) verification failing, indicating that your system struggles to validate the SSL certificate used by the server hosting the dataset.

Common Attempts to Fix the Issue

Many users, including yourself, try some initial fixes, such as:

Installing the certifi package with:

[[See Video to Reveal this Text or Code Snippet]]

Running a Python command to install the necessary SSL certificates:

[[See Video to Reveal this Text or Code Snippet]]

However, despite these efforts, some users continue to face the same error due to various reasons.

Finding the Solution: Identify the Root Cause

In your case, you discovered the real issue lay elsewhere. After thorough investigation, you found that the reason for the SSL verification failure was related to your network settings. Specifically, you were using a proxy service (Zscaler) which interfered with the Certificate Authority (CA) certificates necessary for SSL verification. This kind of interference can block the validation process, resulting in the CERTIFICATE_VERIFY_FAILED error.

Effective Solution: Disable the Proxy

Once you disabled the proxy, everything worked as it should! You were able to run your command successfully without encountering any SSL errors.

Steps to Follow

Here's a simplified breakdown of the steps to resolve this issue:

Check for Proxy Settings:

If you're on a corporate or school network, ask your IT department about any proxy that might affect SSL connections.

Disable the Proxy:

If possible, disable the proxy settings temporarily to see if this resolves your issue.

Retest the Command:

Run fetch_openml('mnist_784') again to see if the SSL error persists.

Reconnect the Proxy (if needed):

If you must use the proxy for other tasks, consider alternating your settings based on your needs, or consult your IT team for alternative solutions.

Conclusion

Troubleshooting the CERTIFICATE_VERIFY_FAILED error can be a hassle, but with the right understanding and approach, you can quickly get back to your data analysis tasks. Remember that your network configuration can greatly impact SSL verification processes. Whenever you run into SSL related errors, always consider checking your proxy settings as a potential root cause.

If you found this guide helpful or have any additional tips, feel free to share your experience in the comments below!