A Jupyter notebook Python library for introductory data science
Friendlier tracebacks, collapsing frames with library code,inline variable values, and adding context
Stream live video feed from a webpage to a server-side python openCV script
parses valid LaTeX and provides variety of Beautiful-Soup-esque methods and Pythonic idioms for iterating over and searching the parse tree
Generate publications webpages from Google Scholar
Making decision trees competitive with state-of-the-art neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet. Transform any image classification neural network into an interpretable neural-backed decision tree.
utility converting latex into parse tree in Python
Convert natural language date-like string to Python objects
Automatically find and update remote copies of your local Git repository.
MathTex compatibility for in-browser markdown using MathJax, MathML, and/or images
Allows you to undo pip commands
Run doctests in any REPL language
offers support for a variety of algorithms on memory-limited infrastructure
utility converting markdown into Python abstraction
Mathematical expressions library
An extension of the Jupyter Notebook that integrates testing with OK client.
An extension of the Jupyter Notebook for UC Berkeley's Data Science 10 course.