Sorry Google, you got it wrong this time ....

Oh my gosh, look at that function definition ...
Oh my gosh, look at that variable ...
Oh my gosh, look at that zone ...
Oh my gosh, look at that long ...
Oh my gosh, look at that short ...
Oh my gosh, look at that stop ... is more my style.

Python devs and data analysts....

Do you recommend using pycharm for working with jupyter notebooks? I surely had a bad time with it.

I have been using many jetbrains softwares , and am a fan of their docs search and autocompletion. But I don't think there is a full support for jupyter jn it, because sometimes my graphs made using matploit or seaborn just brakes.

And some libraries have a lot of functions taking parameters as " *args, **kwargs " , I don't know what that means but those function take a lot of "value" parameters i guess?(like this: plt.figure(figsize=[13,6], axis=False) )
Pycharm also don't seem to have access to list of those arguments...

Are you having such problems too? Have you found some better ide with autocompletions and support for jupyter? Do tell.

(Ps: i know jupyter can be run directly on a browser, but as i said "auto completions and documentations" )

Yesterday I was so high. Today when I open my data science project notebook and I saw that I used seaborn package without importing it...😂😂😂

I'm not a data scientist but lately I've learned NumPy, Pandas and now I'm learning Matplotlib and Seaborn and after years of Excel the improvement is astounding.

Excel is far easier to approach (I casually use it since I was 6) but once you need to do more advanced stuff it requires a lot of tricks and workarounds which needs to be memorized and are hard to find just by reasoning or are straight impossible without the use of macros which introduces many compatibility issues.

Pandas on the other hand is harder to approach but once you learn the concepts between its basic data structures you can do a lot with little "Google-Fu".