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Full Description
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
Learn how to apply core data structures and algorithms to solve programming problems
Master the Java Collections Framework through hands-on examples and exercises
Visualize and compare solutions with illustrated walkthroughs and annotated code
Practice solving problems with dynamic programming, recursion, and concurrency
Book 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 as well as leverage the Java Collections Framework to employ them efficiently. 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 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 and greedy approaches
Design concurrent applications using Java's built-in tools
Evaluate algorithmic trade-offs for real-world applications
Who this book is forAspiring Java developers, CS students, and software engineers seeking a practical refresher on data structures and algorithms. Ideal for those with a basic grasp of object-oriented programming in JDK 11 and above, and for those wishing to improve their problem-solving skills and write more efficient Java code.
Contents
Table of Contents
Data Structures: What, Why, and When
Product Information Document
Algorithms: What, Why, and When
Common Examples in Action
Arrays and Linked Lists
Stacks and Queues
Maps and Hash Tables
Heaps and Priority Queues
Trees
Graphs
Dynamic Programming
Greedy Algorithm
Concurrency in Data Structures
