NumPy Tutorial

This standalone English tutorial is fully notebook-based and independent of the Python syntax tutorial. It covers practical NumPy topics from foundations to vectorized computing, indexing semantics, broadcasting, and linear algebra workflows.

• NumPy Tutorial 01: Foundations and Performance
• NumPy Tutorial 02: Array Creation, Shape, and Memory Model
• NumPy Tutorial 03: Indexing, Masking, and Reshaping
• NumPy Tutorial 04: Vectorization, UFuncs, and Broadcasting
• NumPy Tutorial 05: Statistics, Linear Algebra, and Data I/O

Notebook Downloads

• 01 Getting Started

• 02 Array Creation and Attributes

• 03 Indexing, Slicing, and Reshaping

• 04 Vectorization and Broadcasting

• 05 Statistics, Linear Algebra, and I/O