Slicing Numpy Arrays - Numpy For Machine Learning 2

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[@kevindelosreyes7970]

Happy to have found your channel. Thanks for sharing this!

[@Codemycom]

Welcome!

[@Tristaxx]

this is literally one of the best courses (arguably the best one) for numpy

[@Codemycom]

Glad you're enjoying it!

[@RuojiWang]

Good course. Simple but comprehensive. By the way, I'm not native English speaker. I REALLY want to know what you say at the beginning of vedio.

[@nachodorado8734]

good job mate!! regards from spain

[@Codemycom]

Thanks!

[@restphilanthropy]

100k+ subs???? Amazing 🤩

[@Codemycom]

Yeah, a few months ago

[@DhirajDevarapaga]

dude you are amazing but only suggestion i wish you used jupyter notebook instead of sublime so that we could get the outcome on the go.

[@mayanksrivastava7540]

great teaching sir , but i have to say , the way you start the video with that hand gesture XD

[@Codemycom]

lol

[@Omsip123]

6:58 IMO these are not the two dimensions, but two entries in a dimension. The two dimensions are given by the brackets. Either way, good video, thanks.

[@navronaman]

Thank you so much!

[@Codemycom]

Very welcome!

[@austincharles195]

i really like this

[@Codemycom]

Glad to hear it!

[@zhongcaing1989]

i see u going for the Walter White look

[@latasuthar7904]

Sir is it fine if i code in virtual studio code ? And this much numpy is enough for data science?

[@Codemycom]

Sure, you can use vscode if you like. But why?

[@pm_chohan]

Everything is amazing but why sublime text?

[@Codemycom]

Because it's simple and it's the most used coding text editor in the world. Why not?

[@andresgiuffre6810]

Just curious, is there a way to slice one portion of a dimension and another different one of the other in a single line of code? I mean, if you want to get items (index) 0, 1, 2 from the 1st dimension and 2, 3, 4 from the 2nd one. I've tried a couple of things but it doesn't seem to be working.

[@yaemiko-s4b]

To extract specific items from both dimensions of a 2D NumPy array, you can use advanced indexing, which allows you to specify the exact indices you want to select. If you want to get items at indices 0, 1, and 2 from the first dimension (rows) and indices 2, 3, and 4 from the second dimension (columns).you can write- rows = [0, 1, 2] cols = [2, 3, 4] subarray = a[np.ix_(rows, cols)] print(subarray)

[@francescot.neruda6855]

💪🏻💪🏻

[@Codemycom]

:-)

[@Sibusiso_Myeza]

print("you are the best") output:???

[@Codemycom]

Ha thanks!

[@Game_Studio15]

at my place the error "np is not defined" appears, how do I solve it??

[@Codemycom]

define np as the video does

[@jiniapatra1294]

import numpy as np

[@Codemycom]

@@jiniapatra1294 yep

[@bubblenugget9916]

heisenberg

[@Codemycom]

lol

[@santhoshmrs6244]

Background them use classic

[@Codemycom]

I don't know what those words mean

[@EddTally]

First time I've heard one-ith and five-ith instead of 1st and 5th 🤣🤣 edit: It's to make it obvious that the array starts at zero... not sure I can handle it.

[@MrHaykav]

(y) 👍

[@Codemycom]

👍

[@siavashsabet2462]

Good job man, but what in gods name is “fiveth”, its “fifth”. 😕

[@Codemycom]

It's helpful to understand that arrays start at zero...the zero'ith....followed by, followed by..etc. Don't be a grammar nazi over it.