数据科学家如何学习编写生产级 Python 代码？求学习资源

Resources for learning to write production grade python code [N]

AI 导读

一位统计与 ML 算法背景扎实的数据科学家发帖求助，称自己能在 Jupyter Notebook 中完成复杂建模，却看不懂公司 ML 团队将方案产品化后的代码仓库结构，希望获得编写生产级 Python 代码的学习资源。

正文

I am a data scientist with a very strong background in Stats and ML algos. I am struggling with the production ready code. Though I can build models which are awesome and tuned to perfection and address highly complex business problems, the problem is that they are all done in a jupyter notebook.

Once I had built a complete solution in notebook for a forecasting problem and the ML team in company productionized it. I was called in to validate few results of the production run and couldn't understand the repo which had so many folders, classes and highly organized code.

Is there anyway I can learn to write that type of code or is it all AI job now? Appreciate if I can get some learning resources/links for the same

submitted by /u/Entire-Tomato-3192
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