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Setting up Python Development Environment on Apple M1

Ravi Kumar Gupta
Family Man. Author, Architect, Open Source Evangelist. Python, NodeJS Fan. #LoRa and Machine Learning Enthusiast 🤓 Sports and CS lover.⚽️🏓♟️
・1 min read

I recently moved to Apple M1. It was an awesome experience for my NodeJs, Java projects.

But a poor experience for python projects. I could not even install numpy properly.

I did not want to use Rosetta much. So, I had to install numpy using source. But then pandas did not install, then scipy has problems… Tired.

If you’ve reached here, you would have got a lot of articles where people tried to install by source or other ways. In this story, I am jumping straight to the solution which worked for me using miniforge

Install miniforge

brew install miniforge
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Setup conda with your shell(zsh or bash, whatever you use)

conda init zsh
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Create your venv using desired python version

conda create -n .venv python=3.9.2
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This will create a virtual env for python 3.9.2. All the packages you install will go inside this environment.

Now you can just go your python code directory and activate virtual env.

cd /path/to/my/python/source/dir
conda activate .venv
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Install the packages. Few packages I was not able to find in conda so if I install using pip that worked fine.

conda install numpy
conda install pandas
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Or using Pip

pip install celery
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That’s it, now you can simply run your app.

Hope this helps you. :)

You can follow me on Twitter — @kravigupta . You can also connect on LinkedIn — kravigupta.

Cheers!!

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