Kickstart Modern Data Structures and Algorithms

Build Strong Foundations for Confident Problem-Solving and Efficient CodingBook DescriptionKickstart Modern Data Structures and Algorithms takes you on a structured journey from the core principles of data organization to advanced problem-solving techniques used in real-world applications. The book begins with fundamental concepts, building clarity around arrays, linked lists, stacks, queues, hashing, trees, and graphs. It then progresses into essential algorithmic strategies, including sorting, searching, step-by-step methods, divide-and-conquer, dynamic programming, and backtracking.What you will learn? Select the right data structure based on problem constraints? Design and implement efficient algorithms using C++ and Python? Apply graph, tree, heap, and hashing techniques effectively? Solve complex problems using dynamic programming and backtracking? Optimize solutions through time and space complexity analysis? Leverage STL and practical coding patterns for scalable systemsWho is This Book For?This book is tailored for Undergrad and Postgrad students, aspiring software engineers, and early-career professionals seeking to build a strong foundation in Data Structures and Algorithms. It is ideal for learners with basic programming knowledge in any language who want to strengthen their problem-solving abilities and develop structured algorithmic thinking.Table of Contents1. Introduction to Data Structures and Algorithms2. Arrays and Strings3. Linked Lists4. Stacks, Queues, and Deques5. Hash Tables and Unordered Maps6. Trees and Binary Search Trees7. Heaps and Priority Queues8. Graph Fundamentals9. Graph Algorithm10. Sorting and Searching11. Greedy and Divide-and-Conquer Strategies12. Dynamic Programming13. Backtracking and Recursion Patterns14. Advanced Data Structures: Tries, Segment Trees, and Fenwick Trees15. Applied DSA Patterns and Standard Template Library16. Best Tips and Trends for InterviewsIndex