How useful is knowledge of data structures and algorithms and how to learn them best?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience
Algorithms Data structures algorithms-illuminated

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  • algorithms_illuminated

    Python implementations and tests for the Algorithms Illuminated book series. Some test cases from the following repository: https://github.com/beaunus/stanford-algs

    I think it is important if you are building tools but less so for applying them. Most DS/DA tools abstract away all the implementation details where the type of knowledge from a typical DS&A course matters. For learning, I LOVE Tim Roughgarden's lectures and book series. For me, they hit a great balance between intuition and depth. His book only provides pseudo-code, but I've implemented all of the problems with test cases in Python if that would help (as have many others if you Google for it). https://github.com/andrewdoss/algorithms_illuminated

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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