Thank you! I was a bit hesitant to use poetry because it adds more abstraction and I am not accustomed to it, but this has outlined the advantages well! Thank you

@datasciencesimplified

Жыл бұрын

I'm glad to hear that!

great feat! thanks for the information! appreciate the efforts.

@datasciencesimplified

Жыл бұрын

Thank you for watching the video!

This was awesome!

Thanks for the comparison, despite the outlined pros, I would like to keep using conda (in fact mamba). Mamba installs some large non-Python packages rather smoothly, and I don't really care about the "unnecessary" dependencies it may cause. After all, poetry is less popular and much younger, chances of encountering new error seem to be higher.

I've been following your helpful Python related articles on LinkedIn. As a beginner, I've been using conda. So to use poetry, I would need to rebuild my environments? Thanks, David

@datasciencesimplified

Жыл бұрын

Thank you for following my content! Yes, you will need to rebuild your environment. If there are many dependencies in your environment, I would: - Use pipreqs (pypi.org/project/pipreqs/) to gather dependencies in your project to a requirements.txt file - Copy those dependencies to the pyproject.toml file (I suggest relax the versions of these dependencies) - Run poetry install

@txreal2

Жыл бұрын

@@datasciencesimplified Thanks. Keep up the good work Khuyen.

0:43 conda: limited packages, limited versions, doesn't work with pip, manages system wait, the whole point of conda is being able to use the deps u can't compile? so, pypi based repos are straight out of the question...

Rye is good

Poetry is good but, I am sticking with pipenv ... thats also great

@zedshockblade7157

8 ай бұрын

pipenv is no longer maintained