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Complete Python NumPy Tutorial (Creating Arrays, Indexing, Math, Statistics, Reshaping)




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This video overviews the NumPy library. It provides background information on how NumPy works and how it compares to Python’s Built-in lists. This video goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into more advanced stuff. A full video timeline can be found in the comments.

Link to code used in video:

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Videos of mine that use NumPy
– Creating Connect 4 Game:
– Plotting (with some use of NumPy):
– Generating Mock Data:

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Links with more information!

NumPy vs Lists:

Indexing:

Array Creation Routines:

Math Routines Docs:

Linear Algebra Docs:

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Video Timeline!
0:00 – Introduction
1:15 – What is NumPy
1:35 – NumPy vs Lists (speed, functionality)
9:17 – Applications of NumPy
11:08 – The Basics (creating arrays, shape, size, data type)
16:08 – Accessing/Changing Specific Elements, Rows, Columns, etc (slicing)
23:14 – Initializing Different Arrays (1s, 0s, full, random, etc…)
31:34 – Problem #1 (How do you initialize this array?)
33:42 – Be careful when copying variables!
35:45 – Basic Mathematics (arithmetic, trigonometry, etc.)
38:20 – Linear Algebra
42:19 – Statistics
43:57 – Reorganizing Arrays (reshape, vstack, hstack)
47:29 – Load data in from a file
50:20 – Advanced Indexing and Boolean Masking
55:59 – Problem #2 (How do you index these values?)

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