Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
$ npx skills add ipython/ipythonAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
100 numpy exercises (with solutions)
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
$ npx skills add ipython/ipythonFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
$ npx skills add pandas-dev/pandasAn Open Source implementation of Notebook LM with more flexibility and features
$ npx skills add lfnovo/open-notebookSQL databases in Python, designed for simplicity, compatibility, and robustness.
$ npx skills add fastapi/sqlmodelJupyter Interactive Notebook
$ npx skills add jupyter/notebookThe Database Toolkit for Python
$ npx skills add sqlalchemy/sqlalchemyA modular SQL linter and auto-formatter with support for multiple dialects and templated code.
$ npx skills add sqlfluff/sqlfluffA Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnNotes manager for macOS/iOS
$ npx skills add glushchenko/fsnotesReady-to-run Docker images containing Jupyter applications
$ npx skills add jupyter/docker-stacks10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-Beginners$ npx skills add apache/flinkStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlitscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnPython Data. Leaflet.js Maps.
$ npx skills add python-visualization/foliumApache Spark - A unified analytics engine for large-scale data processing
$ npx skills add apache/sparkHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Numpy 100 if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.