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Скачать или смотреть How to Update Python Version in Ubuntu When Using Anaconda

  • vlogize
  • 2025-05-26
  • 10
How to Update Python Version in Ubuntu When Using Anaconda
Cannot update python version in ubuntu after installing itpython 3.xanacondaubuntu 20.04
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Описание к видео How to Update Python Version in Ubuntu When Using Anaconda

Discover how to seamlessly update your Python version on Ubuntu, especially when using Anaconda. Step-by-step guide included!
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This video is based on the question https://stackoverflow.com/q/66848720/ asked by the user 'chchien' ( https://stackoverflow.com/u/15216714/ ) and on the answer https://stackoverflow.com/a/66858227/ provided by the user 'Utkarsh Chandra Srivastava' ( https://stackoverflow.com/u/15429188/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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.

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How to Update Python Version in Ubuntu When Using Anaconda

Updating your Python version in Ubuntu can sometimes lead to unexpected challenges. If you’ve tried to update Python from version 3.6.1 to 3.7 and found yourself stuck with an older version, fear not! In this guide, we will walk you through the solution to this common problem, particularly when using Anaconda environments. Let’s dive in!

Understanding the Problem

You may have found yourself in a situation where you've installed multiple versions of Python—namely 3.7 and 3.8—on your Ubuntu system. However, even after attempting to change the default version using the command line, your terminal still shows the older version, 3.6.1. Let's break down why this might happen.

When using Anaconda, you have separate Python environments. This means that your system’s Python installation and your Anaconda installation may differ. As a result, commands like python --version will reflect the Python version of the active conda environment, which might still be pointing to an older version.

Solution Steps

Step 1: Identify the Python Installation

First, let's verify which Python executable your terminal is using by running the following command:

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

This command will display the path to the currently active Python interpreter, helping you determine if you are indeed in a conda environment.

Step 2: Deactivate the Conda Environment

If you find that you are in a conda environment where Python 3.6.1 is installed, you need to deactivate it for the system-wide Python installation to take effect:

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

This should now reflect the updated Python version you installed globally (Python 3.7 or 3.8).

Step 3: Updating Python within Anaconda (If Needed)

If your goal is to upgrade Python within the conda environment to version 3.7, you can do so while the conda environment is active. Make sure to activate the environment you wish to update (e.g., base if that’s where you want the change):

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

Step 4: Creating a New Conda Environment (Optional)

For a cleaner approach, particularly if you are facing complications with existing environments, you can create a new conda environment specifically for the desired Python version. This keeps your installations tidy and separate:

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

Step 5: Removing the Anaconda Path from Bashrc (If Necessary)

If you want to prevent the system from defaulting to using the Anaconda environment each time, consider removing its path from your ~/.bashrc file. Editing this file allows you to control which Python version you use by default.

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

Conclusion

Updating your Python version in Ubuntu while using Anaconda can be tricky due to the isolated nature of conda environments. By following our step-by-step guide, you can seamlessly navigate these changes, ensuring that your programs run with the desired Python version. Should you have any additional questions, feel free to drop a comment below! Happy coding!

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