Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping

Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping

Keith Galli via YouTube Direct link

- Introduction

1 of 16

1 of 16

- Introduction

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Complete Python NumPy Tutorial - Creating Arrays, Indexing, Math, Statistics, Reshaping

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  1. 1 - Introduction
  2. 2 - What is NumPy
  3. 3 - NumPy vs Lists speed, functionality
  4. 4 - Applications of NumPy
  5. 5 - The Basics creating arrays, shape, size, data type
  6. 6 - Accessing/Changing Specific Elements, Rows, Columns, etc slicing
  7. 7 - Initializing Different Arrays 1s, 0s, full, random, etc...
  8. 8 - Problem #1 How do you initialize this array?
  9. 9 - Be careful when copying variables!
  10. 10 - Basic Mathematics arithmetic, trigonometry, etc.
  11. 11 - Linear Algebra
  12. 12 - Statistics
  13. 13 - Reorganizing Arrays reshape, vstack, hstack
  14. 14 - Load data in from a file
  15. 15 - Advanced Indexing and Boolean Masking
  16. 16 - Problem #2 How do you index these values?

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