Improving Coding for Data Science?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • materials

    Bonus materials, exercises, and example projects for our Python tutorials

    Since you work with Python, I think Real Python offers many good pages and tutorials: https://realpython.com That includes basic stuff, which you probably already know, but also more advanced software engineering concepts like inheritance and composition, good code documentation practices, functions as first-class objects plus decorators, factory methods. I have learnt some of these by building over-engineered solutions to smaller problems. Many of these fancy things are not necessary for smaller problems (say the bite-sized Kaggle projects or the typical exercises at school), but deliberately using them where they are easier to figure out is an efficient way to learn.

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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