What data science and software engineering have in common is writing code. But while code is the main outcome of software engineering, data science projects typically end with models, results, and reports. Consequently, in data science the quality, structure, and delivery of code is often an afterthought at best.
The implicit expectation with data science projects is that the results reported at the end can…
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https://towardsdatascience.com/8-things-most-data-science-programs-dont-teach-but-you-should-know-part-2-e1f6f706caab?gi=4a29419bca39&source=rss—-7f60cf5620c9—4
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