The fastai book, published as Jupyter Notebooks

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

Create publication-quality books from Jupyter notebooks

Pluto notebooks accompanying the book Statistics With Julia (https://statisticswithjulia.org).

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Code from «Python Cookbook» written in the Jupyter Notebook.

📓 Simple and beautiful notepad to Markdown with Vue.js and Local Storage API

Scientific Computing for Chemists is a free text for teaching basic computing skills to chemists using Python, Jupyter notebooks, and the other Python packages. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, nmrglue, SymPy, scikit-image, and scikit-learn.

The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.

Notebook

My quick-and-dirty annotations notebook

A literal Python notebook, like IRL

Python notebook IDE with a focus on reactivity

Java高级技术系列教程,github镜像