100 numpy exercises (with solutions)
$ npx skills add rougier/numpy-100Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
A collection of analytics methods implemented with Python on Google Colab
100 numpy exercises (with solutions)
$ npx skills add rougier/numpy-100A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
$ npx skills add scikit-learn-contrib/imbalanced-learnscikit-learn: machine learning in Python
$ npx skills add scikit-learn/scikit-learnAn Open Source implementation of Notebook LM with more flexibility and features
$ npx skills add lfnovo/open-notebookOfficial repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
$ npx skills add ipython/ipythonJupyter Interactive Notebook
$ npx skills add jupyter/notebookNotes manager for macOS/iOS
$ npx skills add glushchenko/fsnotesFlexible 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/pandasStreamlit — A faster way to build and share data apps.
$ npx skills add streamlit/streamlit10 Weeks, 20 Lessons, Data Science for All!
$ npx skills add microsoft/Data-Science-For-Beginners$ npx skills add apache/flinkSQL databases in Python, designed for simplicity, compatibility, and robustness.
$ npx skills add fastapi/sqlmodelThe 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/sqlfluffReady-to-run Docker images containing Jupyter applications
$ npx skills add jupyter/docker-stacksApache 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 Ml Feynman Experience 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.