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Learn Java Data Structures & Algorithms Visually - Volume 1
Trees, Linked Lists, Strings & Arrays for AI-Era Interviews
This book is 100% completeLast updated on 2026-10-19
Plain-language explanations, Java implementations, and step-by-step visual walkthroughs help you connect the problem, the code, and the changing state of the data. Every algorithm is printed in full color, so rows, columns, regions, and changing values stand apart at a glance and are easy to trace.
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About the Book
Stop memorizing solutions. Start seeing why they work.
Learn Java Data Structures & Algorithms Visually - Volume 1 brings together 108 algorithm entries covering trees, linked lists, strings, and arrays. Plain-language explanations, Java implementations, and step-by-step visual walkthroughs help you connect the problem, the code, and the changing state of the data. Every algorithm is printed in full color, so rows, columns, regions, and changing values stand apart at a glance and are easy to trace.
Follow a traversal through a tree. Watch pointers move through a linked list. Track characters as a string is processed, and see how positions and values change inside an array. Instead of holding every intermediate step in your head, follow the execution on the page.
The visual walkthroughs use small multiples, a data visualization technique that presents successive stages of an algorithm as a series of consistently structured diagrams. By seeing meaningful stages together, you can compare states, follow what moves, and understand how each decision affects the next. This makes the mechanics easier to inspect and gives you a visual reference when explaining a solution.
Every main algorithm is presented in three complementary parts:
Understanding & Reasoning: Learn the goal, example, key idea, edge cases, and time and space complexity before studying the implementation.
Inspect & Debug: Examine Java code alongside an AI-Era Interview Lens that challenges you to question assumptions, recognize plausible mistakes, and explain why a solution is correct.
Trace & Walkthrough: Follow the input through intermediate states to the result, with visual explanations of the decisions that matter.
Supporting foundations introduce concepts used throughout the volume, helping you connect individual solutions to the structures and patterns behind them.
The emphasis is on understanding what changes, what must remain true, and why the algorithm reaches its answer. Use the explanations to establish the idea, the code to inspect the implementation, and the walkthrough to check your reasoning.
Designed for readers with basic Java knowledge who want to strengthen coding interview preparation, debugging, and algorithmic reasoning.
This is Volume 1 of a four-volume Java algorithm collection containing 430 entries across trees, linked lists, strings, and arrays. A fifth companion book, Introductions & Foundations, collects supporting introductory material; relevant foundations also appear in the algorithm volumes.
Understand the idea. Follow the state. Explain the result.
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About the Author
Flannan P. Brody
Flannan P. Brody is a software engineer with over 18 years of experience building large-scale systems at companies including Google, Apple, Disney+, and Genentech. A graduate of the Dublin Institute of Technology, he has navigated the high-stakes technical interview loops of the world's most selective tech companies more times than he'd care to admit.
Learn Algorithms Visually was born directly from those repeated cycles. Every return trip to the interview circuit brought a deeper layer of clarity, stripping away academic abstraction to reveal how algorithms actually function under the hood. This series is his attempt to compress years of hard-won insight into a single, intuitive pass.
When he isn't writing or architecting code, he's usually playing soccer or traveling.
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