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: https://github.com/KeithGalli/NumPy

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Videos of mine that use NumPy
- Creating Connect 4 Game: https://youtu.be/UYgyRArKDEs
- Plotting (with some use of NumPy): https://youtu.be/DAQNHzOcO5A
- Generating Mock Data: https://youtu.be/VJBY2eVtf7o

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Links with more information!

NumPy vs Lists:
https://jakevdp.github.io/blog/2014/05/09/why-python-is-slow/

Indexing:
https://docs.scipy.org/doc/numpy-1.13.0/user/basics.indexing.html

Array Creation Routines:
https://docs.scipy.org/doc/numpy/reference/routines.array-creation.html

Math Routines Docs:
https://docs.scipy.org/doc/numpy/reference/routines.math.html

Linear Algebra Docs:
https://docs.scipy.org/doc/numpy/reference/routines.linalg.html

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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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