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How Do I Change the Python Version?

Published in Python Environment Management 3 mins read

To change the Python version you're using in Datalore (as indicated by the provided context), you'll need to modify the environment associated with your notebook. Here's how:

  1. Open your Notebook: Begin by opening the specific notebook within Datalore for which you want to change the Python version.

  2. Access the Attached Data Tool: Locate and open the "Attached data" tool, usually found in the left-hand sidebar of the Datalore interface.

  3. Navigate to Environment Files: Within the "Attached data" tool, expand the "Notebook files" list and locate and open the environment file. This file likely contains the configurations for your notebook's environment, including the Python version.

  4. Edit the Environment: You'll now need to edit this environment file. The method to do this will vary based on how the environment is specified, but it often involves directly modifying the file's content.

  5. Specify the Required Python Version: This is the key step. You can specify the desired Python version in a few ways, depending on the environment management tool being used (e.g., Conda, pip, Poetry).

    • Create a New Environment: The most straightforward way is often to create a new environment file that explicitly specifies the Python version. The exact syntax for this environment file will depend on the specific tool (conda environment.yml, requirements.txt, etc).

Example using environment.yml (for Conda):

Create (or modify) a file named environment.yml with the following content, replacing 3.9 with your desired Python version:

name: my-notebook-env
channels:
  - conda-forge
dependencies:
  - python=3.9
  - numpy  # Example dependency
  - pandas # Example dependency

In this example:

  • name: specifies the name of the environment.
  • channels: specifies where conda looks for packages. conda-forge is a good default.
  • dependencies: lists the packages to install, including the python version. Add all other packages your notebook requires here.

Important Considerations:

  • Package Compatibility: Ensure that the packages you need for your notebook are compatible with the Python version you choose. Older Python versions may not support the latest versions of certain packages, and vice versa.
  • Dependencies: When creating a new environment, remember to include all necessary dependencies to ensure your notebook functions correctly.
  • Datalore Documentation: Refer to the official Datalore documentation (like the link provided in the references) for specific instructions and examples related to their environment management features.

By following these steps and considering the important factors, you should be able to successfully change the Python version used by your Datalore notebook.

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