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.
This project provides practical code examples to transform your initial data science analyses, often done in messy notebooks, into organized, reliable, and scalable systems. It takes raw data science code and turns it into robust, production-ready applications. Data scientists, machine learning engineers, and anyone building data-driven products will benefit from these examples.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking to move your experimental code from notebooks into stable, maintainable, and deployable production systems.
Not ideal if you are looking for a pre-built tool or library to use directly, as this provides educational code examples rather than a plug-and-play solution.
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94
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25
Language
Python
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Last pushed
Jul 29, 2025
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