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Essential Data Structures and Algorithms in Java
Essential Data Structures and Algorithms in Java

Essential Data Structures and Algorithms in Java: Apply proven problem-solving patterns to write faster and cleaner AI-native code

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Profile Icon Joseph Su
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€37.99
Paperback Jul 2026 530 pages 1st Edition
eBook
€26.99 €29.99
Paperback
€37.99
Arrow left icon
Profile Icon Joseph Su
Arrow right icon
€37.99
Paperback Jul 2026 530 pages 1st Edition
eBook
€26.99 €29.99
Paperback
€37.99
eBook
€26.99 €29.99
Paperback
€37.99

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Essential Data Structures and Algorithms in Java

Part 1

Introduction

In this section, you'll establish the foundational framework of Data Structures and Algorithms (DSA), demonstrating that efficient computation relies on effective data structuring and mathematically rigorous analysis. We investigate the dichotomy between linear and non-linear data structures, focusing on examples like arrays, linked lists, trees, graphs, and hash maps, while leveraging Abstract Data Types (ADTs) to ensure decoupling and system design flexibility.

You will master the mathematical framework of Asymptotic Analysis using Big O notation to accurately measure and compare the time and space complexity of your solutions.

Far from being purely academic, these foundational principles (i.e., structural dichotomy, ADT decupling, and asymptotic analysis) serve as the exact operational engine for modern Artificial Intelligence, allowing AI Agents and Large Language Models (LLMs) to plan, recall context, and execute complex workflows. By grounding yourself in these essential principles, you will develop the specialized intuition needed to evaluate performance trade-offs, select optimal data structures, and engineer scalable, intelligent software systems.

This part of the book includes the following chapter:

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Key benefits

  • Build solid foundations with a complete overview of core DSA concepts
  • Implement advanced data structures for AI agents and complex systems
  • Master Java Collections and complexity analysis for scalable applications
  • Visualize and debug algorithms with detailed annotated walkthroughs

Description

Developing efficient, reliable software starts with mastering data structures and algorithms. This practical guide helps you bridge theory and practice using Java, focusing on real-world challenges and pragmatic solutions. You will explore foundational data structures such as arrays, lists, stacks, queues, trees, and graphs, and learn how to implement them natively and leverage the Java Collections Framework to build scalable applications. With each concept, you will work through step-by-step exercises that illustrate how algorithms are applied to tasks such as searching, sorting, and traversing data. Rather than being theory-heavy or overly abstract, this book takes a problem-first approach, balancing conceptual explanations with immediate hands-on application. Visual walkthroughs, annotated code, and progressive exercises guide you through each concept, helping you internalize how different structures and algorithms impact performance. Each chapter ends with review problems and thought exercises designed to reinforce key ideas and build your confidence through practice. Guided by a veteran software engineer with over 20 years of industry experience, you will gain the skills to implement advanced data structures for modern software systems and write faster, cleaner, and more effective Java code in real development environments.

Who is this book for?

Perfect for aspiring Java developers, CS students, and software engineers with a foundation in JDK 11+ and OOP looking for a practical DSA refresher. This book skips basic syntax tutorials to front-load core principles, allowing you to turn theory into high-performance logic. Master complex algorithms and apply proven problem-solving patterns to write faster, cleaner, and AI-native Java code.

What you will learn

  • Understand and implement core data structures in Java
  • Analyze time and space complexity with Big O notation
  • Solve coding problems with arrays, linked lists, and hash maps
  • Use stacks and queues to manage linear data workflows
  • Apply tree and graph algorithms to hierarchical and networked data
  • Master dynamic programming approaches
  • Design concurrent applications using Java's built-in tools
  • Evaluate algorithmic trade-offs for real-world applications including AI
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 30, 2026
Length: 530 pages
Edition : 1st
Language : English
ISBN-13 : 9781835883709
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Product Details

Publication date : Jul 30, 2026
Length: 530 pages
Edition : 1st
Language : English
ISBN-13 : 9781835883709
Category :
Languages :

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Table of Contents

18 Chapters
Part 1: Introduction Chevron down icon Chevron up icon
Chapter 1: Data Structures and Algorithms Chevron down icon Chevron up icon
Part 2: Common Data Structures and Applications Chevron down icon Chevron up icon
Chapter 2: Arrays and Linked Lists Chevron down icon Chevron up icon
Chapter 3: Stacks and Queues Chevron down icon Chevron up icon
Chapter 4: Maps and Hash Tables Chevron down icon Chevron up icon
Chapter 5: Trees Chevron down icon Chevron up icon
Chapter 6: Priority Queues and Heaps Chevron down icon Chevron up icon
Chapter 7: Graphs Chevron down icon Chevron up icon
Part 3: Practical Algorithms and Examples Chevron down icon Chevron up icon
Chapter 8: Dynamic Programming Chevron down icon Chevron up icon
Chapter 9: Recursion Chevron down icon Chevron up icon
Chapter 10: Sorting Chevron down icon Chevron up icon
Chapter 11: Concurrency Chevron down icon Chevron up icon
Chapter 12: DSA in Production Chevron down icon Chevron up icon
Chapter 13: Unlock Your Exclusive Benefits Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


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