Data Science from Scratch, 2nd Edition

linear-algebradata-sciencetextbookpython

Abstraction: Linear algebra foundations for data science implemented in Python from scratch

Key points:

Chapter 4 covers linear algebra as foundation for data science techniques used throughout the book
Vectors represented as Python lists of floats using a type alias: Vector = List[float]
Data treated as points in finite-dimensional space (e.g., [height, weight, age] as 3D vector)
Focuses on from-scratch Python implementation rather than relying on external libraries
Published by O'Reilly 2019; authored by Joel Grus; full content behind paywall on oreilly.com

Connections: Oreilly · Joel Grus · Linear Algebra · Data Science