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Скачать или смотреть Resolving the Failed to start Jupyter Error in VSCode for Python 3.9.6

  • vlogize
  • 2025-03-31
  • 6
Resolving the Failed to start Jupyter Error in VSCode for Python 3.9.6
Failed to start Jupyter in the environment 'Python 3.9.6' - VSCodepythonvisual studio codejupyter notebook
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Описание к видео Resolving the Failed to start Jupyter Error in VSCode for Python 3.9.6

Struggling with Jupyter Notebook in Visual Studio Code? Discover how to fix the `Failed to start Jupyter in the environment 'Python 3.9.6'` error with ease in this guide!
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This video is based on the question https://stackoverflow.com/q/75531421/ asked by the user 'Quantizer' ( https://stackoverflow.com/u/4438203/ ) and on the answer https://stackoverflow.com/a/75531934/ provided by the user 'Quantizer' ( https://stackoverflow.com/u/4438203/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Failed to start Jupyter in the environment 'Python 3.9.6' - VSCode

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Fix the Failed to Start Jupyter in the Environment 'Python 3.9.6' Error in VSCode

If you're a developer or data scientist, chances are you've encountered issues while trying to start a Jupyter Notebook in Visual Studio Code (VSCode). One common error that many users face is the message: "Failed to start Jupyter in the environment 'Python 3.9.6'." This can be frustrating, especially if you're eager to run your notebook. Here’s how to resolve this issue effectively.

Understanding the Problem

Upon opening a .ipynb file with Jupyter installed through VSCode, you may encounter errors related to Jupyter not starting properly. This can stem from a variety of issues including installation problems, misconfigurations, or missing dependencies in your Python environment.

Common Symptoms

You might notice the following error message in the output log:

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

The logs may indicate that the Jupyter server crashed or that the system couldn’t find the jupyter-notebook command. This usually points to an installation or path-related issue.

Step-by-Step Solution

To get Jupyter running smoothly in your specified Python environment, follow these steps:

Step 1: Update and Reinstall Jupyter

The first approach is to ensure that Jupyter is properly installed and updated to the latest version. Open your terminal and execute the following command:

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

This command does the following:

-U or --upgrade: It upgrades the package to the latest version, if it’s already installed.

--force-reinstall: This forces the reinstallation of the package, which can fix corrupted installations.

Step 2: Verify the Installation

Once you’ve run the command, confirm the installation by checking the version of Jupyter. In your terminal, type:

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

This should return the version number if everything was successful. If you still get an error regarding the command not found, it indicates a problem with your environment setup or PATH variable.

Step 3: Reload VSCode

After reinstallation, it’s a good practice to restart VSCode to ensure that any changes made take effect. Close the application completely and reopen it, then try to run your Jupyter Notebook again.

Step 4: Check Python Environment Configuration

Finally, ensure that VSCode is correctly set to use the right Python interpreter. You can find this configuration in the bottom left corner of VSCode. Click on the Python version display and select the appropriate interpreter corresponding to Python 3.9.6.

Additional Notes

If the error persists, consider checking the terminal for specific logs that can give you insights into what might be wrong.

Make sure other dependencies, especially ipykernel, are up to date as it is essential for running notebooks.

Conclusion

Errors like "Failed to start Jupyter in the environment 'Python 3.9.6'" can be quite common, especially with new installations or environmental changes. Following the steps provided will help to rectify the issue effectively. Remember, reinstalling the Jupyter Notebook and ensuring your environment is configured correctly can go a long way in solving these problems. Happy coding!

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