Paperback. Master essential data structures and algorithms in Java with clear examples, visual walkthroughs, and real-world coding exercises designed to build your problem-solving skills fastKey FeaturesBuild solid foundations with a complete overview of core DSA conceptsImplement advanced data structures for AI agents and complex systemsMaster Java Collections and complexity analysis for scalable applicationsVisualize and debug algorithms with detailed annotated walkthroughsBook DescriptionDeveloping 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.What you will learnUnderstand and implement core data structures in JavaAnalyze time and space complexity with Big O notationSolve coding problems with arrays, linked lists, and hash mapsUse stacks and queues to manage linear data workflowsApply tree and graph algorithms to hierarchical and networked dataMaster dynamic programming approachesDesign concurrent applications using Java's built-in toolsEvaluate algorithmic trade-offs for real-world applications including AIWho this book is forPerfect 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. Learn how to think algorithmically and write efficient Java code with this approachable guide to essential data structures and algorithms, designed with real-world challenges and hands-on illustrations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Essential Data Structures and Algorithms in Java (Paperback)
Publisher: Packt Publishing Limited, Birmingham
Publication Date: 2026
Language: English
ISBN 10: 1835883702
ISBN 13: 9781835883709
Binding: Paperback
Condition: new

About this title

Synopsis

Master essential data structures and algorithms in Java with clear examples, visual walkthroughs, and real-world coding exercises designed to build your problem-solving skills fast

Key Features

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

Book 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.

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

Who this book is 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.

Data Structures and Algorithms
Arrays and Linked Lists
Stacks and Queues
Maps and Hash Tables
Trees
Priority Queues and Heaps
Graphs
Dynamic Programming
Recursion
Sorting
Concurrency
DSA in Production

About the Author

Joseph is a veteran software engineer with over 20 years of experience, dedicated to developing innovative technologies that address complex challenges in the advertising and entertainment technology sector. He focuses on optimizing performance and efficiency through advanced software engineering techniques. His expertise covers the full lifecycle of machine learning projects, from conceptualization and data processing to the deployment of scalable solutions that deliver significant results.

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