Stars
🚀 A hand-curated list of free, open, and developer-friendly APIs
Regulation playing surfaces for sports data visualization
using probabilistic programming to build win probability model for NCAAM basketball
An API Client package to access the APIs for NBA.com
Using probabilistic programming to infer player ratings from matchup data.
A set of comprehensive (but certainly non exhaustive) tutorials for data visualization with Python
A huge list of alternatives to Google products. Privacy tips, tricks, and links.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.
An introduction to Hockey Visualization with D3.js
Docker images and test runners that replicate the live AWS Lambda environment
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
A collection of (mostly) technical things every software developer should know about
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A Python module for learning all major algorithms
📚 Study guide and introduction to the modern front end stack.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Python Data Science Handbook: full text in Jupyter Notebooks
Accelerate your web app development | Build fast. Run fast.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
List of Python API Wrappers and Libraries
📙 Amazon Web Services — a practical guide
🐍 📊 📈 Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.