Productionize Research Oriented Code by Python

This talk presents four steps for productionizing research-oriented code: understand it through reading and documentation, modularize it, refactor it with tests, and make it into a product. A Flask web API example shows how to handle routing, request checks, and errors.

Syllabus

Intro
Background
Example of pre processing code
Example of calculation code
3 differences between research oriented code and production code
Code Reading / Code Documentation
Modularization outcome
Mapping each module into directory
Before refactoring the code
preprocess.py: the three ways to pre-process data
Request routing: clarity input and output and define URI from data
The Flow Chart of Transformation from Research Oriented code into WEB API
Request parameter check: write decorators with JSON Schema
The Flow Chart Transformation from Research Oriented code into WEB API
Error check use error handler functions to detect error by using Flask
Summarize 4 Step Transformation from Research Oriented code into Products