NumPy Operations - Ultimate Guide to Methods and Functions for Beginners!

Описание к видео NumPy Operations - Ultimate Guide to Methods and Functions for Beginners!

In this tutorial, we will dive much deeper into NumPy - focusing on important array methods, functions and of course - math! 🤓
We will begin with a quick recap of the previous tutorial and we will then move on with lots of detailed examples and handy tricks!
You can find links to my previous tutorial (and other NumPy-related videos of mine) in the related videos section below.
📝 quick note: at 24:18 - the floating point numbers originated from (b/a) and not from np.floor()

⭐ CLONE MY CODE ⭐
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* Sorry code is unavailable, RIP Wayscript 😭😭😭*

🎥 RELATED VIDEOS 🎥
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⭐ Ultimate Guide to NumPy Arrays (PART 1 of this tutorial):
   • Ultimate Guide to NumPy Arrays - VERY...  
⭐ Python Learning Roadmap:
   • Python Learning Roadmap for Beginners...  
⭐ Train Basic Neural Network with NumPy and Pandas:
   • Train Basic Neural Network with Numpy...  
⭐ Basic Guide to Pandas:
   • Basic Guide to Pandas! Tricks, Shortc...  

⏰ TIME STAMPS ⏰
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00:00 - intro
--------------♻️ RECAP ♻️---------------
00:30 - create 2D demo arrays
01:56 - dtype attribute
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02:52 - fill array with values
03:41 - assignment operators
04:12 - NumPy is Python or C?
06:11 - sum of array
06:52 - sum of columns or rows only
08:36 - product of array
09:15 - average of array (mean)
09:31 - minimum and maximum values
10:02 - index of minimum and maximum values
10:33 - peak to peak method (ptp)
11:10 - size attribute
11:50 - flatten vs ravel methods
13:03 - repeat function
14:10 - non-flat repeat function
14:50 - unique function
15:20 - diagonal function
16:05 - convert array to list
16:38 - save array to file
17:12 - swap axes of array
17:56 - transpose method
18:27 - T attribute
19:02 - NumPy documentation
20:07 - simple operations on 2 matrices
21:12 - modulo
22:31 - floor division
24:26 - matrix multiplication
27:41 - thanks for watching! :)

🔗 LINKS AND CREDITS 🔗
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⭐ NumPy Documentation:
https://numpy.org/doc/stable/referenc...
⭐ Emoji from:
https://www.flaticon.com/
⭐ Text Effects from:
https://mixkit.co/free-premiere-pro-t...

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