Data Structures and Algorithms with Python
摘要
Computer-science foundations meet mathematical rigour as asymptotic analysis guides the design of stacks, queues, linked lists, trees, and a deep dive into the hash-table machinery that powers Python’s dict. Classic search and sorting algorithms are implemented and benchmarked, while graph theory introduces BFS, DFS, and Dijkstra’s shortest-path—laying algorithmic cornerstones for later numerical and data-science pipelines.