NumPy

Curriculum

8 chapters, each with a tutorial, a live example, a quiz, an exercise, a challenge, and class practice.

1. 1

   Introduction to NumPy

   Arrays, and why they're faster than Python lists.

   preview
2. 2

   Arrays & Shapes

   Creating arrays and understanding dimensions.

3. 3

   Indexing & Slicing

   Selecting subsets of an array.

4. 4

   Broadcasting

   Operating on arrays of different shapes.

5. 5

   Aggregations

   sum, mean, min, max across axes.

6. 6

   Reshaping

   Changing an array's shape without changing its data.

7. 7

   Random Module

   Generating random numbers and samples.

8. 8

   Linear Algebra Basics

   Dot products and matrix multiplication.