NumPy Full Python Course - Data Science Fundamentals

[@sifarathussain1335]

No Time Waste, To the point video, Thank you, Sir. You made a lot of students life easy

[@mai_hu_shinchan_nohara01]

may be the best numpy guide available in yt, no shit talking ;pure informations.... love it

[@ChromaDotNova]

Appreciate the quick overview, especially on saving data and importing data to and from files.

[@reubenthomas1033]

One each for Pandas, matplotlib and seaborn also please!

[@thunderskull258]

Yes

[@I_am_AmanSingh]

yes please that would be amazing

[@nunolopes3910]

Great video, really appreciate this quick crash courses!

[@nmelqonyan2561]

After wasting my time for 1 month and understanding nothing from those courses explaining Numpy with anaconda, I found this course, simple, understandable, finally!!!!!!!!!!thanks

[@raymondvaldepenas7758]

This is great! Thank you for this awesome numpy course😁

[@soumavadas1400]

No beating around the bush, directly to the point, really helpful

[@hypervanse]

really straight to the land of no nothing

[@PlexAlanche]

Was waiting for this! Thanks a lot!

[@NiepoprawnyKomentator]

This channel is my discovery of this week! :)

[@akshguj3001]

Can you shar some more of your discoveries

[@muralidhar40]

This is my intro to numpy and mind blown!

[@abhinavchoudhary6849]

Thank you bro for such amazing numpy crash course

[@Synthetic_geth]

Underrated channel Great work!

[@Damian-lu8sx]

Great video, thanks!

[@YazhiniGodwinSahayaraj-hi]

Amazing video learned so much!

[@abhijitmondal7831]

Aahhhh... Finaly ❤️

[@AnirudhNavalgund]

great course... thank you very much one course each for Pandas and Matplotlib too please

[@giovannicordova4803]

Will there be more videos on C programming?

[@thunderskull258]

Best course on numpy on yt

[@rio5172]

Bro is a menace. Thank you!

[@piotrmazgaj]

Great! By all means, please do Panadas as well!

[@tcgvsocg1458]

i hit the like button only because he look so pride of his knowledge...

[@rigonliu1042]

Thank you. What is the name of this Python platform?

[@ankidokolo]

Just in time. Would be great to do one for matplotlib also. Thanks.

[@b391i]

I'm sorry guys, but I have to say it: this channel is awesome.

[@bigbro1815]

Great Course

[@fahmidhossainSakib]

Great content ! Thanks a lot !

[@Stephen-ed4pp]

Splendid crash course

[@IronBen117]

thank you!

[@iltrovatoremanrico]

Great tutorial, thanks!

[@brighttech8146]

Hey man you are the best python teacher keep it up and i have questions if u can answer me

[@DanilLiakhovets]

In the first part of video understanding, I have one question. Why did u wrote print(a_mul[0][0]) if u can print(a_mul[0,0]) ?

[@boghost2997]

these are the same thing, you can write the one u prefer

[@ЮхновськийНазарій]

Full of useful information, i.e. without extra

[@YazhShah]

Nice one brother!

[@faridibadov2000]

saved my time and nerves!

[@davidmackie3497]

does numpy do inverses of matrices?

[@sinistral941]

Very nice👌 Please also make a Video for pandas. Thank you.

[@Alan-lw4kk]

which IDE are you using

[@Sinke_100]

U could also said something about dot

[@abhishekrai9069]

Great video

[@HaniCreateTV]

thanks for that!💚

[@thunderskull258]

I wanted to know if we can find determinant, minor, cofactor, adjoint in numpy

[@kklol07]

amazing mate, even if i know this, i cant stop viewing, haha

[@mrcute4584]

Thank youuuuu

[@Sinke_100]

Not sure why for me default is int64

[@markkennedy9767]

From 13:30 to 14:00 ,wha? 🤔 At 26:50, you say whenever you have arrays that we can think of matrices or vectors, you can do the arithmetic operations. What is meant by this: Can't all arrays be thought of as either matrices or vectors. It would have been more helpful if you explained broadcastability of arrays when applying these arithmetic operations rather than just moving on to the next topic. Its an important topic. At 34:00, can you explain why the syntax is a.reshape((2,3)), i.e. a method, rather than np.reshape((2,3),a), i.e. a function. Since a.reshape() isn't modifying in place (it's not changing a), why not just have it as a function.

[@leolee1089]

awesome tutorial

[@SzTz100]

Top notch tutorial

[@Jafarkhan-s6e]

Thank u for the course. I am from india

[@YashRaj-yi6jg]

Really Good

[@lets_code_this2678]

GOOD AND THX SO MUCH

[@ansariaburehan263]

thank youu so much

[@hirentank5260]

Thank you so much

[@hamidrezaakbari7611]

Thank you

[@davidzwitser]

So basically it's just APL or BQN but way worse because it's not idiomatic to the language. Super cool that array programming is secretly very populair tho 😄

[@Smaug1248]

Thanks a lot

[@tangrechristopherkolbil1853]

Great

[@linnmoe3953]

Thanks.

[@kazisamir123]

you are the best

[@gamingkakshaa]

Bro want to collaborate with me for one video 👍 from India

[@harshmalviya5967]

please create pandas tutorial too

[@Amine._126]

✅ Numpy

[@PandaVlademirBerlin]

handsome boy

[@Goutham-exists]

✅numpy

[@JuanCarlosMH]

Pandas!

[@hypervanse]

please not arrays, matrices are just line displaying vector's transpose conjugate for convenience. Learn at least Numerical Recipes or go beyond linear algebra 1. I advise studying nonlinear dynamics and multiple scales method, your tutorial really is a bad joke on matlab, I know it's paid, but octave works. But please arrays, are matrices, and cubic matrices are not tensors, I mean, they're the trivial case. But then you would have to learn geometry, orthogonal spaces, kernel of operators, properties, hilbert spaces, metric spaces....

[@Goutham-exists]

a

[@ahmadbodayr7203]

great bro , Read About Islam if you are not muslim ❤

[@mob5383]

Thanks!

[@979259]

great tutorial

[@kikis7680]

thank youuu

[@nicolasvargas6846]

Thanks😁

[@loknathsaha9393]

Great

[@Goutham-exists]

a