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

- Accessing/Changing Specific Elements, Rows, Columns, etc slicing

6 of 16

6 of 16

- Accessing/Changing Specific Elements, Rows, Columns, etc slicing

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

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

Automatically move to the next video in the Classroom when playback concludes

  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?

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.