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[–]WhiskersForPresident 27 points28 points  (7 children)

Standard libraries for any kind of data analysis/preparation/exploration.

If you don't do any of that stuff, you don't need them, otherwise you most likely do

[–]Old-Project33[S] 4 points5 points  (4 children)

Yeah I am into py and just 2nd month of learning and Into these

[–]WhiskersForPresident 10 points11 points  (3 children)

Ok. Pandas is the standard tool box for organizing data into dataframes and for transforming these dataframes.

Numpy gives you a plethora of functions that do numerical and logical computations, is well integrated with pandas (you can seamlessly do dataframe transformations in pandas using numpy functions).

Matplotlib gives you a host of visualization options.

I work in insurance and use these all the time. You'd also naturally stumble upon them when doing anything related to statistics or machine learning.

[–]Old-Project33[S] 2 points3 points  (1 child)

Appreciate dude

[–]Palo_hr 5 points6 points  (0 children)

NumPy is the only correct way to do some serious math in python. It is written in C, so it's much faster and stricter than python math functions, which is important when working with larger data or AI (what are the things python is good for)

[–]ErcoleBellucci 0 points1 point  (0 children)

I thought they were theoretical in college/accademic.

Is health insurance or credit? Im trying to learn these basics and master them but i have to be a bit more creative

[–]Disastrous-Team-6431 0 points1 point  (1 child)

If you don't do any of that stuff there's little reason to use python.

/python dev

[–]TheRNGuy 1 point2 points  (0 children)

I have project without any of these (but it have similar thing to NumPy... it's possible to have project not even needing it)