Learn what a data structure is and how data structures are classified, as well as what an algorithm is, how to read and write algorithms using pseudocode, and how to use time and space complexity ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

In Codeless Data Structures and Algorithms, pp. 3–17. Apress (2020). [6] Introduction to Algorithms. In Computational Frameworks for Political and Social Research with Python, pp. 49–57.