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