numpy tutorial - basic array operations

This tutorial covers various operations around array object in numpy such as array properties (ndim, shape, itemsize, size etc.), math operations (min, max, sqrt, std etc.) arange, reshape etc. Please give thumbs up/subscribe/comment if you like this tutorial.

Topics that are covered in this Python Video:
0:00 Overview
0:29 create one dimensional array
0:45 create two dimensional array
1:11 ndim property
1:35 itemsize property
1:57 dtype property
2:05 change data type of element
2:52 size property
3:12 shape property
4:22 zeros() function
4:45 once() function
5:00 range() function
5:26 arange() function
6:28 linspace() function
7:31 reshape() function
8:21 ravel() function
9:21 min() function
9:26 max() function
9:31 sum() function
10:36 sqrt() function
11:20 std() function
12:39 operations in array
13:09 matrix products dot()

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[OmkarShelke-wj]

this is awesome dhaval sir, You covered the entire important topics of numpy in just 10 minutes live without any editor and with simply idle. Keep uploading the videos sir.

[codebasics]

Machine learning tutorials with exercises:

[Fanda]

hello mister pajeet I want to thank you from the bottom of my heart for this wonderful tutorial

[abhilashmishra]

watch at speed:1.5x. The video is really cool at that speed. Thanks codebasics for the wonderful video. I was searching for one of these types of videos for quite a while.

[NickMaverick]

Thanks to codebasic, thanks to dhaval sir, super easy to understand and practice..❤

[frankservant]

Thank you man you are a lifesaver for real

[harshamejari]

print('very nice teaching <3')

[slickwillie]

Thx. It was a great tutorial. I made a help module out of it so I would remember it all. 😃

[zerostudy]

ahaha i like your language style "You Obviously Don't Remember. But If You Open Your Calculator You'll Find The Square Root It's Gonna Be This!". haha i'll tell that to my elementary teacher one day. Best Quote dank af

[DhanushA-pc]

Thanks a lot sir, for such great lecture😇

[GOODLUCK-vojr]

thankyou sir learn python with your helpful video

[hpourmamih]

same as always this course is very useful as well !!! Thanks BRO...

[BioxyTube]

thanks a lot :)...really clear explanations

[quickedits]

I miss doing your exercises!!! Good lecture tho.

[VivekYadav-dsoz]

If you need to create the Python lists to initialize the numpy arrays, i.e if you have to do np.array( *[1, 2, 3]* ) then you have to make the python list in memory first before passing it to numpy array method, if I'm not mistaken. How does then numpy manage to be faster then??

[kostasnikoloutsos]

I think for better understanding we have to study numpy with pandas.
Just because there are a lot of things that are the same.

[webapplicationguide]

Thank You !! In 10:52, You said sqrt is not a function. it's a generic function. what does that mean ?

can you elaborate ?

[mitsudipta]

Does linearly spaced array include the upper bound ?

[manishkc]

Why there are no jupyter notebook links in the any video of numpy playlist? @codebasics

[umarfarooq]

My array.itemsize shows 8 bytes for both int64 and float64 data types?