Editor's top Jupyter books
1Python Data Science Handbook
Jake VanderPlas · O'Reilly (free online) · 548 pages · ~14 hrs to read
VanderPlas's free handbook is written and delivered as Jupyter notebooks, making it the most authentic Jupyter learning experience available. The IPython/Jupyter chapter covers magic commands, shell integration, and profiling in depth. Reading this book teaches Jupyter by immersion — you are using the tool to learn about the tool.
Jupyter Books for Beginners
1Python Data Science Handbook
Jake VanderPlas · O'Reilly (free online) · 548 pages · ~14 hrs to read
VanderPlas's free handbook is written and delivered as Jupyter notebooks, making it the most authentic Jupyter learning experience available. The IPython/Jupyter chapter covers magic commands, shell integration, and profiling in depth. Reading this book teaches Jupyter by immersion — you are using the tool to learn about the tool.
Intermediate & Advanced Jupyter Books
2Jupyter for Data Science
Dan Toomey · Packt0
A practical walkthrough of using Jupyter for the full data science workflow — data loading, visualisation, modelling, and sharing results. Less technically deep than the official docs but useful as a project-oriented companion for engineers who prefer learning through worked examples.
IPython Interactive Computing and Visualization Cookbook
Cyrille Rossant · Packt · 548 pages · ~14 hrs to read
One of the only books written specifically about IPython and the Jupyter Notebook rather than treating it as an afterthought. Rossant's recipes on profiling, parallel computing, and interactive widgets inside notebooks go well beyond what most data science books cover, making this the rare genuinely notebook-native text.
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