A fundamental backbone of successful data science practice is a deep understanding of core data structures and algorithms. Data scientists must be able to efficiently process, analyze, and manipulate vast data repositories. Mastering common data structures like arrays, lists, trees, graphs, as well as algorithmic approaches such as sorting, searchi