Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	März 2026
Genre:	EDV / Informatik
	Algorithms / Data Structures / problem solving
ISBN:	9789349887381
EAN-Code:	9789349887381
Verlag:	Orange Education Pvt Ltd
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 280 mm / B 216 mm / D 27 mm
Gewicht:	1259 gr
Seiten:	506
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Build Strong Foundations for Confident Problem-Solving and Efficient Coding Book Description Kickstart 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. As you advance, you will explore powerful data structures such as tries, segment trees, and Fenwick trees, along with applied DSA patterns and effective use of STL for optimized implementation. The final section focuses on smart coding practices, interview preparation strategies, and emerging technology trends-ensuring learners are not only technically strong but also industry-ready. 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 Who 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 Contents 1. Introduction to Data Structures and Algorithms 2. Arrays and Strings 3. Linked Lists 4. Stacks, Queues, and Deques 5. Hash Tables and Unordered Maps 6. Trees and Binary Search Trees 7. Heaps and Priority Queues 8. Graph Fundamentals 9. Graph Algorithm 10. Sorting and Searching 11. Greedy and Divide-and-Conquer Strategies 12. Dynamic Programming 13. Backtracking and Recursion Patterns 14. Advanced Data Structures: Tries, Segment Trees, and Fenwick Trees 15. Applied DSA Patterns and Standard Template Library 16. Best Tips and Trends for Interviews Index