As a data scientist writing code for your models, it’s quite possible that your work will make its way into a production environment to be used by the masses. But, writing code that is deployed as software is much different than writing code for exploratory data analysis. Learn about the key approaches for making your code production-ready that will save you time and future headaches.
Originally from KDnuggets https://ift.tt/2NDGdps
source https://365datascience.weebly.com/the-best-data-science-blog-2020/software-engineering-fundamentals-for-data-scientists
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