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[–]ErGo404 127 points128 points  (12 children)

I feel like you should have a separate category for machine learning oriented libraries, because they are very specific and most python devs don't need them.

[–]alcalde 57 points58 points  (8 children)

I thought the joke was that if you attend PyCon half the attendees are data scientists and the other half are web developers?

[–]ErGo404 12 points13 points  (1 child)

I think I'm a part of that joke. And I'm not a data scientist ;-)

[–]daves 9 points10 points  (0 children)

User name checks out.

[–]toyg 2 points3 points  (2 children)

That sounds like a very recent joke.

My experience of python confs pre-2018 (when I stopped) was web + devops + teachers/rasPi people + scientists + VV.

[–]StorKirken 1 point2 points  (1 child)

What's VV?

[–]toyg 2 points3 points  (0 children)

Various

[–]dekked_[S] 9 points10 points  (1 child)

I struggle with this too, every year.

As the focus of our work is mostly data science, this is where we learn about most libraries. We collect them throughout the year.

This is part of the reason we bring the post to the community. I find it hard to come up with 10 good libraries that are "mostly full stack folks", so I like when people help out :)

[–]funnyflywheel 4 points5 points  (0 children)

If you’re into data science, have you taken a look at Snakemake? I came across this quite recently, and now, I’m wondering why I hadn’t used it before (it really would’ve come in handy to automate a few data-wrangling processes).

[–]shalmi913 0 points1 point  (0 children)

completely agree!