《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。
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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
100 numpy exercises (with solutions)
Ready-to-run Docker images containing Jupyter applications
📚 Parameterize, execute, and analyze notebooks
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Jupyter magics and kernels for working with remote Spark clusters
Easily bring your Python applications online with the world's lightest GUI toolkit.
The power of Chart.js with Python
High performance, editable, stylable datagrids in jupyter and jupyterlab
Xonsh Jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporie, etc.
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)