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

[@reubenthomas1033]

One each for Pandas, matplotlib and seaborn also please!

[@thunderskull258]

Yes

[@I_am_AmanSingh]

yes please that would be amazing

[@mai_hu_shinchan_nohara01]

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

[@nunolopes3910]

Great video, really appreciate this quick crash courses!

[@RamiSobhani]

i i can safely say i am professional in numpy

[@ChromaDotNova]

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

[@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

[@soumavadas1400]

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

[@hypervanse]

really straight to the land of no nothing

[@raymondvaldepenas7758]

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

[@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!

[@BitsNBytes_]

Awesome tutorial! The explanations were very clear and set me on the right path to get started. Thanks alot.

[@CouchPotatoCrusader]

Thanku so much. Very good crash course! No time wasted

[@Synthetic_geth]

Underrated channel Great work!

[@abhinavchoudhary6849]

Thank you bro for such amazing numpy crash course

[@giovannicordova4803]

Will there be more videos on C programming?

[@abhijitmondal7831]

Aahhhh... Finaly ❤️

[@piotrmazgaj]

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

[@thunderskull258]

Best course on numpy on yt

[@xenobgmiofficial]

Keep making such videos, Love from India❤

[@NeuralNine]

❤️

[@rio5172]

Bro is a menace. Thank you!

[@YazhShah]

Nice one brother!

[@YazhiniGodwinSahayaraj-hi]

Amazing video learned so much!

[@naqashhussain2634]

Great course indeed!

[@fahmidhossainSakib]

Great content ! Thanks a lot !

[@Amine._126]

✅ Numpy

[@iltrovatoremanrico]

Great tutorial, thanks!

[@Damian-lu8sx]

Great video, thanks!

[@ankidokolo]

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

[@Stephen-ed4pp]

Splendid crash course

[@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.

[@thunderskull258]

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

[@bigbro1815]

Great Course

[@ЮхновськийНазарій]

Full of useful information, i.e. without extra

[@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

[@davidmackie3497]

does numpy do inverses of matrices?

[@Alan-lw4kk]

which IDE are you using

[@tcgvsocg1458]

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

[@b391i]

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

[@AnirudhNavalgund]

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

[@brighttech8146]

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

[@mob5383]

Thanks!

[@kklol07]

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

[@faridibadov2000]

saved my time and nerves!

[@PRINCEKUMARMANDAL-v3q]

Is this crash course enough for NumPy or should I go more deeper.

[@NeuralNine]

I would start with this. Then I also have a video called "Advanced NumPy Course" if you want to go deeper.

[@PRINCEKUMARMANDAL-v3q]

Can we use VS code instead of pycharm?

[@NeuralNine]

You can use anything you like. Preferably NeoVim :)

[@abhishekrai9069]

Great video

[@Sinke_100]

Not sure why for me default is int64

[@rigonliu1042]

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

[@PandaVlademirBerlin]

handsome boy

[@Sinke_100]

U could also said something about dot

[@HaniCreateTV]

thanks for that!💚

[@sinistral941]

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

[@SzTz100]

Top notch tutorial

[@YashRaj-yi6jg]

Really Good

[@979259]

great tutorial

[@Jafarkhan-s6e]

Thank u for the course. I am from india

[@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 😄

[@Bay-H-B]

GOOD AND THX SO MUCH

[@nicolasvargas6846]

Thanks😁

[@hirentank5260]

Thank you so much

[@Smaug1248]

Thanks a lot

[@hamidrezaakbari7611]

Thank you

[@ansariaburehan263]

thank youu so much

[@kazisamir123]

you are the best

[@LMchange-z3z]

Thanks.

[@kikis7680]

thank youuu

[@loknathsaha9393]

Great

[@Goutham-exists]

✅numpy

[@madbollocks]

nice

[@harshmalviya5967]

please create pandas tutorial too

[@gamingkakshaa]

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

[@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....

[@ChrisSargent-f5j]

Robinson Eric White Steven Lewis Richard

[@Goutham-exists]

a

[@ahmadbodayr7203]

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

[@leolee1089]

awesome tutorial

[@mrcute4584]

Thank youuuuu

[@tangrechristopherkolbil1853]

Great

[@Goutham-exists]

a