Productionize Research Oriented Code By Python
summary
Concrete pipeline and tooling not buzzwords: a worked example converts an item response two‑parameter logistic implementation into a web API, with four steps — understand → modularize → refactor → productize — and concrete files like preparation.py, preprocessing.py, prediction.py. Tests and style use pytest black flake8 and type hints, endpoints validate with JSON Schema and run on Flask or FastAPI; load testing uses locust or vegeta. Outcome is an API with parameter checks, error handling, and guidance for performance tuning.
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chapters (15)
- 0:00Intro
- 0:47Background
- 4:00Example of pre processing code
- 4:23Example of calculation code
- 6:463 differences between research oriented code and production code
- 9:40Code Reading / Code Documentation
- 12:08Modularization outcome
- 12:59Mapping each module into directory
- 14:23Before refactoring the code
- 18:00preprocess.py: the three ways to pre-process data
- 21:39Request routing: clarity input and output and define URI from data
- 22:58The Flow Chart of Transformation from Research Oriented code into WEB API
- 24:52The Flow Chart Transformation from Research Oriented code into WEB API
- 25:26Error check use error handler functions to detect error by using Flask
- 25:58Summarize 4 Step Transformation from Research Oriented code into Products
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