A fundamental backbone 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 datasets. Mastering common data structures like arrays, lists, trees, graphs, as well as algorithmic methodologies such as sorting, searching, an… Read More