🔒 conda env manager question:

[timber agate]

If I only use pip to install all the libraries, is there a reason to use conda env manager? or just the native env manager is sufficient?

[uneven schooner]

@timber agate

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[rancid sandal]

If you're doing Data Science project, use conda. Otherwise, pip is fine

[timber agate]

Can you elaborate further on the reason? If I install numpy, scipy etc... through pip, is it still necessary?

[rancid sandal]

nothing is stopping you from using pip install or conda install those packages

but you have to pick one or the other

if you pip install numpy but conda install scipy, one or the other environment will not see each other packages (i.e. pip can't see scipy and conda can't see numpy)

[timber agate]

Thanks Agent Q

[uncut nexus]

as per the conda docs, if you are using conda, best practice is to use conda's own package manager as first choice and pip as second choice if conda repo doesn't have that package.

[eternal rune]

you can also create your environments with conda and then solely use pip inside of them, you do have that flexibility

[timber agate]

What's the point of use conda then? I guess it was my original question. Is there any side benefit other than just has the conda library manager?

[eternal rune]

conda is good at making sure that the libraries you install work together and can solve dependency issues so you don't have to worry about those, conda can provide you with a stable environment to install your data science modules into and have it work with little to no issues, if you don't have a need for that, then just use pyenv and pip

[uncut nexus]

there's a bit of history to that.. first came pip but it was lacking many features, so conda was created as an alternative package manager.. then pip was rewritten and new features were added. over time both became package managers of equal capability, more or less.
so nowadays some people use conda, some use pip. others use pipx. and others use mamba.

[violet burrow]

conda does still have the enormous difference compared to pip that it can install entirely-python-unrelated, systemwide packages like CUDA

whether this is good or bad is up to you

[uneven schooner]

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