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
One each for Pandas, matplotlib and seaborn also please!
Yes
yes please that would be amazing
may be the best numpy guide available in yt, no shit talking ;pure informations.... love it
Appreciate the quick overview, especially on saving data and importing data to and from files.
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
This is great! Thank you for this awesome numpy course😁
This channel is my discovery of this week! :)
Can you shar some more of your discoveries
This is my intro to numpy and mind blown!
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
Was waiting for this! Thanks a lot!
Thank you bro for such amazing numpy crash course
Just in time.
Would be great to do one for matplotlib also.
Thanks.
Amazing video learned so much!
Bro is a menace. Thank you!
Great! By all means, please do Panadas as well!
Best course on numpy on yt
Underrated channel
Great work!
Aahhhh... Finaly ❤️
Full of useful information, i.e. without extra
great course... thank you very much
one course each for Pandas and Matplotlib too please
Splendid crash course
i hit the like button only because he look so pride of his knowledge...
Great content ! Thanks a lot !
Will there be more videos on C programming?
Great tutorial, thanks!
Great Course
I'm sorry guys, but I have to say it: this channel is awesome.
saved my time and nerves!
thank you!
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.
amazing mate, even if i know this, i cant stop viewing, haha
Nice one brother!
Thank you. What is the name of this Python platform?
Great video
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.
Thank youuuuu
thanks for that!💚
U could also said something about dot
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
Thank u for the course. I am from india
Top notch tutorial
does numpy do inverses of matrices?
awesome tutorial
thank youu so much
I wanted to know if we can find determinant, minor, cofactor, adjoint
in numpy
GOOD AND THX SO MUCH
which IDE are you using
Really Good
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 😄
Thank you so much
Great
Not sure why for me default is int64
Thank you
Thanks a lot
Thanks.
Bro want to collaborate with me for one video 👍 from India
you are the best
please create pandas tutorial too
✅numpy
✅ Numpy
handsome boy
Robinson Eric White Steven Lewis Richard
Pandas!
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 ❤
Thanks!
thank youuu
great tutorial
Great
Thanks😁
a