Data Structures and Algorithm Design using Python

This book presents the study of data structures and algorithms as a guided journey from the motivations that shape the field to the advanced techniques that define it. It opens with the algorithmic challenges hidden in everyday technology, builds the analytical tools needed to evaluate efficiency, and uses Python to establish the basic constructs that support clear, precise problem-solving. From these foundations, it moves through essential tasks like searching and sorting, expands into intermediate Python features that enable robust programs, and then introduces the data structures and strategies—sets, stacks, queues, heaps, backtracking, and object-oriented design—that prepare the way for trees and balanced trees. This progression culminates in the major algorithmic paradigms of divide and conquer, greedy methods, graph algorithms for shortest paths and spanning trees, and finally dynamic programming, rounding out a coherent exploration of the techniques that drive modern computation.