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....
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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
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.
Great video, really appreciate this quick crash courses!
may be the best numpy guide available in yt, no shit talking ;pure informations.... love it
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😁
Thanku so much. Very good crash course! No time wasted
No beating around the bush, directly to the point, really helpful
really straight to the land of no nothing
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!
Was waiting for this! Thanks a lot!
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 you bro for such amazing numpy crash course
Underrated channel
Great work!
Will there be more videos on C programming?
Amazing video learned so much!
Keep making such videos, Love from India❤
❤️
Can we use VS code instead of pycharm?
You can use anything you like. Preferably NeoVim :)
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.
Great video, thanks!
does numpy do inverses of matrices?
Bro is a menace. Thank you!
Nice one brother!
Great! By all means, please do Panadas as well!
I wanted to know if we can find determinant, minor, cofactor, adjoint
in numpy
Best course on numpy on yt
Great tutorial, thanks!
Great content ! Thanks a lot !
i hit the like button only because he look so pride of his knowledge...
Great course indeed!
which IDE are you using
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.
great course... thank you very much
one course each for Pandas and Matplotlib too please
Thank you. What is the name of this Python platform?
Splendid crash course
Full of useful information, i.e. without extra
Great Course
I'm sorry guys, but I have to say it: this channel is awesome.
Aahhhh... Finaly ❤️
Hey man you are the best python teacher keep it up and i have questions if u can answer me
saved my time and nerves!
Very nice👌 Please also make a Video for pandas. Thank you.
Not sure why for me default is int64
Thanks!
thanks for that!💚
amazing mate, even if i know this, i cant stop viewing, haha
Just in time.
Would be great to do one for matplotlib also.
Thanks.
Great video
U could also said something about dot
Thank u for the course. I am from india
Top notch tutorial
great tutorial
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
GOOD AND THX SO MUCH
Thanks a lot
thank youu so much
Thanks😁
Thank you
thank youuu
Bro want to collaborate with me for one video 👍 from India
Thanks.
you are the best
please create pandas tutorial too
Great
nice
handsome boy
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....
✅ Numpy
✅numpy
Pandas!
a
great bro , Read About Islam if you are not muslim ❤
awesome tutorial
Thank youuuuu
Great
a