Kickstart Modern Data Structures and Algorithms. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Orange Education Pvt Ltd, 2026
- Softcover
- Neu
Anbieter: PBShop.store US, Wood Dale, IL, USAPBShop.store US
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Verkäufer:in bei ZVAB seit 7. April 2005
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Softcover
Zustand: Neu
EUR 51,44
Artikelbeschreibung des Verkäufers
New Book. Shipped from UK. Established seller since 2000.
Bestandsnummer des Verkäufers L2-9789349887381
- Titel
- Kickstart Modern Data Structures and Algorithms
- Autor
- Mallarapu, Ms. Divyashree
- Verlag
- Orange Education Pvt Ltd
- Erscheinungsjahr
- 2026
- Zustand
- New
- Einband
- PAP
- Sprache
- Englisch
- ISBN-10
- 934988738X
- ISBN-13
- 9789349887381
- Artikelgewicht
- 1.259 Gramm
Build Strong Foundations for Confident Problem-Solving and Efficient Coding
Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com
● End-to-end DSA mastery from fundamentals to advanced structures.
● Pattern-driven approach to solving real-world and interview problems.
● Implementation-focused learning using C++ with Python codes.
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.
By the end of this journey, you will be well-equipped to analyze complex problems, design efficient solutions, and approach technical interviews and real-world development challenges with confidence.
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 systems
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
Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com
● End-to-end DSA mastery from fundamentals to advanced structures.
● Pattern-driven approach to solving real-world and interview problems.
● Implementation-focused learning using C++ with Python codes.
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.
By the end of this journey, you will be well-equipped to analyze complex problems, design efficient solutions, and approach technical interviews and real-world development challenges with confidence.
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 systems
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
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