Python NumPy Tutorial for Beginners

Python NumPy Tutorial for Beginners

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Accessing/Changing Specific Elements, Rows, Columns, etc (slicing)

5 of 15

5 of 15

Accessing/Changing Specific Elements, Rows, Columns, etc (slicing)

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Classroom Contents

Python NumPy Tutorial for Beginners

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

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