NumPy

From your first array to broadcasting, statistics, and linear algebra. Go through each lesson in order: read, run the examples yourself, then work the exercises at the bottom. Prefer a dense lookup instead? Jump to the quick reference.

Beginner

1. What Is an Array?

ndarray vs. Python list, and the core ways to create one.

2. Indexing & Slicing

Picking out elements, rows, columns, and matches to a condition.

Intermediate

3. Shape Manipulation & Broadcasting

Reshaping, stacking, and the rule that lets mismatched shapes still add.

4. Aggregations & Statistics

sum, mean, and friends, plus what axis actually means.

5. Random Numbers & File I/O

Reproducible randomness with Generator, plus reading/writing arrays.

Advanced

6. Linear Algebra & Advanced Patterns

Matrix operations, sorting/searching, and the tricks that come up in real code.