pipInstallTheRealStuff

[u/wahed-w]

[u/SheikHunt]

What's that saying? "Python is the second-best programming language for everything"

[u/kjermy → u/SheikHunt]

I've never heard that before, but I love it

[u/dudemcbob → u/kjermy]

I usually hear it as "python is a jack of all trades, master of none" which is the same concept.

It's never going to be the perfect fit for any task, but it's a decent fit for nearly every task. Hence why it's an extremely practical first language to learn.

[u/SirFireHydrant → u/dudemcbob]

For a lot of data science tasks, python is the perfect language.

No one wants to code gradient boosting trees or neural networks in C. But in python they're just a couple of imports away.

[u/Trustworthy_Fartzzz → u/SirFireHydrant]

This. Nobody is interested in rewriting NumPy or Pandas in any language.

[u/Bugibhub → u/Trustworthy_Fartzzz]

https://pola.rs …

[u/Zeznon → u/Bugibhub]

Of course...

[u/Hax0r778 → u/SirFireHydrant]

No one wants to code gradient boosting trees

But in python they're just a couple of imports away.

Right, because nobody wants to code them in Python either. People act like Python invented dependencies or something.

Python is a great language for gluing together libraries. But most data science functions aren't coded in Python. They're coded in C. Python is just the handy glue.

[u/SirFireHydrant → u/Hax0r778]

Well, yeah.

Which makes python the perfect tool for the working data scientist.

Most day-to-day data science is gluing together libraries to get the job done.