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production-ready-data-science-code
khuyentran1401/production-ready-data-science-code
Transform messy data science notebooks into production-ready code. Examples covering testing, CI/CD, MLOps, and scalable deployment practices.
★100stars
Python
Updated: 3w ago
📋 Project at a Glance
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What's this?A open-source Dev Tools project, built with Python, focusing on book-examples and ci-cd
Who made it?Maintained by khuyentran1401 team, 100⭐ on GitHub, #1514 out of 2853 in Dev Tools
Why does it exist?In the Dev Tools space, book-examples workflows faced efficiency bottlenecks. production-ready-data-science-code was built by khuyentran1401 to address these ci-cd challenges.
What can it do?Key use cases: code-quality, data-engineering, data-science
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/khuyentran1401/production-ready-data-science-code | 官网 https://codecut.ai/production-ready-data-science/
🔗 github.com/khuyentran1401/production-ready-data-science-code | 官网 https://codecut.ai/production-ready-data-science/
Topics
book-examplesci-cdcode-qualitydata-engineeringdata-sciencemachine-learningmlopsproductionpythontestingtutorialversion-control