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
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.
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 😄
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....
No Time Waste, To the point video, Thank you, Sir.
You made a lot of students life easy
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
Appreciate the quick overview, especially on saving data and importing data to and from files.
may be the best numpy guide available in yt, no shit talking ;pure informations.... love it
Great video, really appreciate this quick crash courses!
No beating around the bush, directly to the point, really helpful
really straight to the land of no nothing
One each for Pandas, matplotlib and seaborn also please!
Yes
yes please that would be amazing
This channel is my discovery of this week! :)
Can you shar some more of your discoveries
This is great! Thank you for this awesome numpy course😁
Was waiting for this! Thanks a lot!
Awesome tutorial! The explanations were very clear and set me on the right path to get started. Thanks alot.
This is my intro to numpy and mind blown!
Thanku so much. Very good crash course! No time wasted
Underrated channel
Great work!
Thank you bro for such amazing numpy crash course
i i can safely say i am professional in numpy
Bro is a menace. Thank you!
Aahhhh... Finaly ❤️
Amazing video learned so much!
Keep making such videos, Love from India❤
❤️
Best course on numpy on yt
Great course indeed!
Great! By all means, please do Panadas as well!
Great video, thanks!
Will there be more videos on C programming?
Great content ! Thanks a lot !
Nice one brother!
Great tutorial, thanks!
Splendid crash course
i hit the like button only because he look so pride of his knowledge...
great course... thank you very much
one course each for Pandas and Matplotlib too please
Great Course
Just in time.
Would be great to do one for matplotlib also.
Thanks.
saved my time and nerves!
Thanks!
thanks for that!💚
Full of useful information, i.e. without extra
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.
Hey man you are the best python teacher keep it up and i have questions if u can answer me
Very nice👌 Please also make a Video for pandas. Thank you.
Great video
I'm sorry guys, but I have to say it: this channel is awesome.
amazing mate, even if i know this, i cant stop viewing, haha
Top notch tutorial
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]) ?
these are the same thing, you can write the one u prefer
does numpy do inverses of matrices?
which IDE are you using
Thank you. What is the name of this Python platform?
U could also said something about dot
Really Good
✅ Numpy
GOOD AND THX SO MUCH
great tutorial
Thank you so much
Is this crash course enough for NumPy or should I go more deeper.
I would start with this. Then I also have a video called "Advanced NumPy Course" if you want to go deeper.
Thanks😁
I wanted to know if we can find determinant, minor, cofactor, adjoint
in numpy
thank youu so much
Not sure why for me default is int64
Thanks a lot
Thank you
thank youuu
Can we use VS code instead of pycharm?
You can use anything you like. Preferably NeoVim :)
Thank u for the course. I am from india
Thanks.
Great
you are the best
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 😄
nice
handsome boy
Noice
✅numpy
please create pandas tutorial too
Bro want to collaborate with me for one video 👍 from India
Pandas!
Robinson Eric White Steven Lewis Richard
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....
a
great bro , Read About Islam if you are not muslim ❤
awesome tutorial
Thank youuuuu
Great
a