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At my current job we use conda to manage our environments and poetry to manage our packages. I have to say that the setup is pretty sweet and wanted to share it with you guys.

Imagine that we are working on a generic project called project-name then the setup is as follows

conda create --name project-name  python=3.7
conda activate project-name
pip install poetry
poetry config virtualenvs.create false
poetry install --no-root
ipython kernel install --name "project-name" --user

This initialises a conda environment with a name and the correct python version, installs poetry using pip, and then installs and manages your packages through poetry, finally it installs a jupyter kernel with the same name.

Just change project-name to the name of your repo and you’re all set!

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