Python NumPy Tutorial (Arrays and Basic Operations) смотреть онлайн

Numpy Video Tutorial
Fundamentals of Computing
Mendoza, Mark Wilson S.
BS Math-1A
LSPU-SCC


Timestamps:
00:10 Intro
01:20 Creating 1D Arrays
03:00 Creating 1D Arrays from list
04:32 Creating 2D Arrays from list
04:45 Creating 2D Arrays from a range
05:50 Reshaping Arrays
06:22 Creating Empty Arrays
06:50 Creating Eye Arrays
07:35 Changing Array Values
09:19 Sorting Arrays
09:50 Viewing vs Copying Arrays
11:07 Reshaping Views
11:34 Filling Array with Values
12:18 Operators
14:05 Arithmetic Methods - .sum()
14:31 Array Product and Mean
15:35 Finding the minimum/maximum value
16:06 Finding the index of the minimum/maximum
16:32 Peak to peak
17:13 Flattening Arrays
18:08 Repetition
19:03 Unique
19:33 Extracting values from Diagonal
20:40 Converting Arrays to list
20:17 Store Array in a text file
22:00 Operation on 2 Matrices
22:29 Transposition
23:23 Modulo on 2 matrices
24:06 Floor Division
24:44 Matrix Multiplication (by element)
25:12 Matrix Multiplication (by matrix)
25:39 Outro




References:
Ultimate Guide to NumPy Arrays - VERY DETAILED TUTORIAL for Beginners
https://youtu.be/lLRBYKwP8GQ


NumPy Operations - Ultimate Guide to Methods and Functions for Beginners
https://youtu.be/E1IPJOd7dWQ


What is NumPy? — NumPy v1.23 Manual
https://numpy.org/doc/stable/user/whatisnumpy.html


What is an array? - Arrays and lists
https://www.bbc.co.uk/bitesize/guides/zy9thyc/revision/1


Difference Between Lists and Arrays in Python
https://byjus.com/gate/difference-between-list-and-array-in-python #:~:text=List%20is%20used%20to%20collect,of%20the%20same%20data%20type.&text=List%20cannot%20manage%20arithmetic%20operations,Array%20can%20manage%20arithmetic%20operations.


NumPy Documentation:
https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html



Files/Programs used:
Main NumFile (file used in the tutorial)
https://drive.google.com/drive/folders/1Ey9M31GTJWDlP8Rp5Y9u2lsWlexeoJ8J

Anaconda
https://www.anaconda.com/

Jupyter Notebook
https://jupyter.org/




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