Part 12: Programming for Data Science

Deep, idiomatic Python and R for data work, plus reproducible research with notebooks and environments.

Chapters in This Part

Chapter 49: Python for Data Science in Depth

Python has become the dominant language for data science not by accident but by design: its syntax rewards clarity, its ecosystem is vast, and its int...

Beginner Advanced

18 min

Chapter 50: R & the Tidyverse

R has occupied a unique position in data science for decades — born from statistical computing, it treats data manipulation, statistical modeling, and...

Beginner Intermediate

11 min

Chapter 51: Reproducible Research & Notebooks

Reproducibility is the cornerstone of credible data science. A result that cannot be independently verified — or that you yourself cannot reproduce si...

Beginner Intermediate

19 min