pip is a de facto standard package-management system used to install and manage software packages written in Python. Many packages can be found in the default source for packages and their dependencies — Python Package Index (PyPI).
Create delightful software with Jupyter Notebooks
A reactive Python kernel for Jupyter notebooks.
📓 🔧 Augmentation of the "devpi" project with ‘enterprisey’ requirements, configuration, and deployment.
Bring Google NotebookLM into any MCP client (Claude, Cursor, Codex, Antigravity…) — grounded Q&A with citations, source management, and Studio content generation. Install via uvx or a one-click Claude Desktop extension.
Procedure for using YTubeInsight inside any Jupyter Notebook
A collection Jupyter notebooks with examples of data requests using APIs and web scrapers.
CLI toolkit for Databricks — manage jobs, clusters, notebooks and scaffold data projects from your terminal
Interactive data structures and algorithms visualizer. 28 step-by-step visualizers with live code panels in Python, C, C++, Java and Rust, mapped to the VTU BCS304 and BCS401 syllabus. Ships with Pratyaksha, a Python package that renders the same structures inside Jupyter notebooks.
A lightweight, zero-setup decorator for logging ML experiments to a JSONL file. This tool is for the solo data scientist, student, or hobbyist in a Jupyter Notebook who just wants to keep track of their experiments without setting up a database or heavy framework.
Created by Ian Bicking, Jannis Leidel
Released April 4, 2011