DSA with Python for Indian Students

DSA with Python for Indian Students teaches data structures and algorithms the way they are actually tested — in college exams, in placement rounds and in technical interviews. Every structure is explained in simple language, drawn out step by step, and implemented in clean Python you can run and modify yourself.

Why Choose This DSA Book?

• Written for Indian students — matched to B.Tech, BCA and MCA syllabi and to the question patterns Indian placement drives actually use
• Every program tested and runnable — code executes exactly as printed, and the output in the book is the real output you'll see
• Visual, not just theoretical — diagrams show how each structure changes at every step, so you understand the logic instead of memorising it
• Practice with solutions included — problems first, worked answers after, so you can attempt honestly before checking

Who Is This DSA Book For?

• B.Tech / B.E. Computer Science and IT students taking the DSA paper
• BCA, MCA, BSc Computer Science and Diploma students
• Students preparing for campus placements, coding rounds and technical interviews
• Self-learners who know basic Python and want to build real problem-solving skill
• Candidates preparing for GATE, PSU and competitive programming

What You Will Learn

• Algorithm Analysis — time and space complexity, Big O notation and how to compare approaches
• Arrays & Strings — traversal, searching, two-pointer techniques and common patterns
• Linked Lists — singly, doubly and circular, with insertion, deletion and reversal
• Stacks & Queues — implementation, applications, deques and priority queues
• Recursion & Backtracking — thinking recursively, call stacks and classic problems
• Trees — binary trees, binary search trees, traversals, heaps and balancing
• Graphs — representation, BFS, DFS, shortest paths and spanning trees
• Hashing — hash tables, collision handling and dictionary-based problem solving
• Searching & Sorting — linear and binary search, bubble, selection, insertion, merge and quick sort
• Dynamic Programming — memoisation, tabulation and the problems that use them

Book Details