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Redis – Changed PATH variable to use correct Python version but now pip installed libraries are not found

I am on macOS. I recently upgraded my python version via homebrew, but running python3 was still getting the old version of Python 3.8. Therefore, I changed my PATH variable with export PATH="/usr/local/bin:$PATH" to use the new Python version 3.12.5.

However, now when I try to import any libraries in Python that I’ve pip installed in the past, Python gives me a ModuleNotFoundError: No module named 'chromadb' error. I show chromadb, but any package I try to import gives ModuleNotFoundError.

But of course, I have pip installed and used these packages in the past, and using my old version of Python works fine. When I try to pip install these packages again, I get lots of messages saying requirement already satisfied Requirement already satisfied: chromadb in ./Library/Python/3.8/lib/python/site-packages (0.5.5).

I have tried changing my $PYTHONPATH to include ./Library/Python/3.8/lib/python/site-packages:/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages: because I saw that these are the locations of some of my site-packages, but that’s getting errors when importing several libraries. For example, when I import redis or import numpy I’m getting more ModuleNotFoundError.

I need to use this updated Python version, but how can I fix the ModuleNotFoundError‘s? Thanks in advance.

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2

Answers


  1. 0

    You should not have multiple versions of python installed, not safe and a headache to manage. In your case, you cannot use previously installed packages because you installed them for pyuthon3.8 and your new python don’t have them.

    You could try to create a virtual environment and then install your packages there. It’s best to have a separate virtual environment for each project. If you don’t have projects perse, create a virtual environment for your specific python version.

    I would recommend using Anaconda or Miniconda for that.

    conda create -n my_env_name python=3.12
conda activate my_env_name
pip install <your packages> # conda install will also work
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  2. 0

    As already stated by others you should use some solution to manage your different development environments if you really want to have several python versions at the same time.

    I would recommend you to have a look into poetry for example (https://python-poetry.org/docs/). There you could state your python version and depencies in a so called pyproject.toml.
    In your case the tool.poetry.dependencies section could look like:

    [tool.poetry.dependencies]   
python = "^3.12"
numpy = "^2.1.0"

    or something. The basic usage can be found here.
    This makes it much easier to manage different projects with different python and package versions.

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