Comments (2)
This is now better explained in best practices, see: https://jerry-git.github.io/learn-python3/notebooks/intermediate/html/best_practices.html#One-virtual-environment-per-project
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Thanks for the question!
I'd say pipenv is the way to go for the majority of the use cases, especially if you're developing deployable applications. However, if you're developing e.g. libraries which have to support multiple different Python versions, pipenv
is not necessarily the best option. From the pipenv
docs:
Ideally, you should only have one target Python version, as this is a deployment tool.
If pipenv
seems not to be suitable for your needs, I recommend checking out virtualenvwrapper, using requirements.txt file for listing dependencies, and using pip
for installing the dependencies.
Considering the materials in this repo, I'll refactor the virtual environments notebook to cover pipenv
. Now that it's mentioned here, it's officially on my todo list 😃
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