Скачать или смотреть Resolving Conflicting Python Versions in SageMaker Studio Notebooks

Discover how to fix conflicting Python versions in SageMaker Studio when using a Python 3.8 kernel to ensure seamless coding and package management.
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This video is based on the question https://stackoverflow.com/q/70486162/ asked by the user 'Isac Casapu' ( https://stackoverflow.com/u/1268949/ ) and on the answer https://stackoverflow.com/a/71266245/ provided by the user 'Anastasia Tzeveleka' ( https://stackoverflow.com/u/18308751/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding the Issue: Conflicting Python Versions in SageMaker Studio

If you're using SageMaker Studio and trying to run a notebook with the Python 3.8 kernel, you might encounter a frustrating situation where it appears that the notebook is using a different version of Python – typically Python 3.7. This issue can lead to various problems, especially if you're trying to import packages or libraries that are not compatible with the Python version running in your notebook, such as TensorFlow.

In this post, we’ll delve into the particulars of this issue, explore a potential solution, and hope to alleviate some of the frustration related to managing Python versions in SageMaker Studio.

The Problem: Version Discrepancy

When you create a notebook in SageMaker Studio, you expect that the kernel version will match the runtime environment. However, some users have reported discrepancies that manifest in the following ways:

The command !python3 -V reflects Python 3.8.2, indicating that the kernel is set up to use Python 3.8.

However, running import sys yields a version output of 3.7.12, signifying that the notebook is executing in a different environment.

Attempts to use libraries like TensorFlow may fail if they are not installed in the version of Python that the notebook is currently using.

Here is an example output from these commands:

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

And as a follow-up:

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

The Solution: Verify the Setup

If you're facing this problem, don't worry, there's hope! Users in regions, like eu-west-2, have found that the issue might be resolved simply by confirming your environment setup. Here's a step-by-step guide to check your configuration:

Step 1: Check Python Version

First, you'll want to confirm that you are indeed running Python 3.8 by executing the command:

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

Make sure this outputs:

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

Step 2: Validate the Notebook's Python Environment

Next, you can check if the notebook is also using Python 3.8:

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

You should see an output like:

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

Step 3: Test TensorFlow Installation

To see if TensorFlow is available, run this command:

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

If this outputs something like 2.6.2, your environment is set up correctly. If this works seamlessly, chances are the update resolves your problem.

Conclusion

If you previously encountered a conflicting Python version error in SageMaker Studio, you might find that it's been resolved simply by ensuring that your environment is set correctly. Many users have reported that the configurations now allow for smooth sailing using the Python 3.8 kernel. If you continue to experience issues, it might be worth checking the settings or considering reaching out to support for additional guidance.

Hopefully, with this guide, you can resume your work in SageMaker Studio without further interruptions. Happy coding!