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