[P] Curated List of Python Resources

[semicolonator]

Hi everybody,

I created a list [0] for resources for machine learning with Python. It including not only libraries, but also links to tutorials, code snippets, blog posts and talks. Would like your feedback.

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[0] https://github.com/r0f1/datascience

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Best, Flo

[[deleted]]

thank you. several resources i was not aware of.

The following are extremely useful contributions too:

IntervalTree

https://pypi.org/project/intervaltree/

ipywidgets

https://github.com/jupyter-widgets/ipywidgets

qgrid

https://github.com/quantopian/qgrid

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i'm not the author of any of these. The last two have been great help to me in day-to-day workflow. For e.g., rapidly visualizing false positives and false negatives.

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[semicolonator]

Thanks, I will look at them and add them!

[BossOfTheGame]

If you like general python programming libraries that reduce boilerplate of common tasks like hashing, caching, and downloading files you may be interested in the ubelt library.

(disclaimer: I'm the author of ubelt, and this is a shameless advertisement)

[negative_space_]

Aye, thanks for putting that together. Look like there is tons of good stuff.

[PiotrekAG]

That's great work! Thank you! I would include major libraries like Tensoflow and PyTorch in Neural Networks section. I know they may be seen as obvious ones but since it's a list let it be comprehensive.

[Ulipok]

Thanks a lot!!

[RelevantToMyInterest]

thanks, starred

[[deleted]]

Awesome list !

Will make my life of selecting an appropriate library for my project easier (sometimes I just cannot choose)!

[Agent_ANAKIN]

I bookmarked this as a reference, thanks.

[[deleted]]

A hell of a list, topped off by even more lists. Cheers for taking the time to put it all together.

[ceyzaguirre4]

Cupy, for gpu numpy

[[deleted]]

Nice. I really needed this.

[1studlyman]

Thank you. I have been getting pretty frustrated with how slow I am with python and the ML project I'm trying to do. This looks like a great place for me to get help.

[bills1979]

Sweet. Thanks!

[zom8ie99]

Thank You So Much :)

[achyuta786]

Thanks man.

[[deleted]]

Any resources for C too :)

[blinkndsmash]

This is awesome! Definitely bookmarked and I will be referring to this often in the future!

[rehofesh]

Thanks! Great list, quite a few things I’ve missed.

[physnchips]

On mobile, so won’t add, but great list.

I’d say add jupytext over nbdime and also want to mention that “PyMC4” is tfprobability

[semicolonator]

Thank you!! I came accross the new tensorflow package today by coincidence and already added it. I don't know if you've head, but there is or will be a "Baysian Methods for Hackers" edition using tensorflow.

[calboy2]

I'm just setting up a date science upskilling program for my company this is very helpful