How to update python version in virtual environment?

[101Dude]

Is there a way to update the version of python that is being used in a virtual environment?

https://stackoverflow.com/questions/10218946/upgrade-python-in-a-virtual-environment

python3 -m venv --upgrade ENV_DIR

[lvzhengcq]

To update the Python version within a virtual environment, you'll typically create a new virtual environment with the desired Python version and migrate your existing project into that new environment. Here's a step-by-step guide:
Steps to update Python version in a virtual environment:

1.Create a New Virtual Environment:
Create a new virtual environment with the desired Python version using the venv or virtualenv tool. For example, to create a new environment with Python 3.9:
Using venv:

python3.9 -m venv /path/to/new/venv

Using virtualenv:
virtualenv -p /usr/bin/python3.9 /path/to/new/venv

2.Activate the New Virtual Environment:
Activate the newly created virtual environment:

source /path/to/new/venv/bin/activate

3.Install Dependencies:
Once activated, you might need to reinstall the dependencies your project requires within this new environment using pip.
4.Migrate Your Project:
Copy or move your project files into the new environment. Ensure your project's code and configurations are correctly placed within this environment.
5.Test:
Run your project's tests or execute the code to ensure everything works as expected within the updated Python version.
6.Optional: Delete Old Virtual Environment:
After confirming that the new environment works well with your project, you can remove or delete the old virtual environment.

Always ensure that your project dependencies are compatible with the updated Python version, as some packages might require specific Python versions to work correctly.
Remember to back up your project or create a version control snapshot before making significant changes like updating the Python version within your environment.

[native-api]

Having checked the documentation, python -m venv --upgrade seems to have a very limited use case: if Python is "upgraded in place" (which must mean, in technical terms, that no paths have changed whatsoever).

With Pyenv, this is never the case: each release is installed to its own path.
So the standing advice remains: recreate the environment and reinstall packages anew using requirements.txt or an equivalent.