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Learn Kotlin Data Structures & Algorithms Visually - Volume 1
Data Structures & Algorithms for AI-Era Interviews
This book is 100% completeLast updated on 2026-10-15
Learn Kotlin Data Structures & Algorithms Visually - Volume 1 brings together 108 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree... Printed in full color.
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About
About the Book
Stop memorizing solutions. Start seeing why they work.
Learn Kotlin Data Structures & Algorithms Visually - Volume 1 brings together 108 algorithms covering trees, linked lists, strings, and arrays, each part opened by short foundation sections on the core tree patterns, the pointers you must track, the string and character toolkit, off-by-one errors, and two pointers. Every algorithm is shown in full color, so nodes, pointers, windows, and changing values stand apart at a glance and are easy to trace.
Search and rebuild binary search trees. Reverse and merge linked lists. Validate parentheses and slide windows across strings, then solve two-sum, rotation, and island problems on arrays and matrices. 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 brings the algorithm to life, reinforcing understanding and helping the underlying patterns and mechanics stay with you longer.
Every main algorithm is presented in three complementary parts:
Understanding & Reasoning: Learn the goal, key idea, edge cases, and time and space complexity before studying the implementation.
Inspect & Debug: Examine Kotlin 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.
Most interview bugs aren't in the big idea - they hide in a pointer moved one step too soon, an index off by one, a window that never shrinks. This book is about seeing the state clearly enough that those bugs have nowhere to hide.
Every code sample was compiled, tested against edge cases beyond what's printed on the page, and independently reviewed before making it into the book.
Designed for readers with basic Kotlin knowledge who want to strengthen coding interview preparation, debugging, and algorithmic reasoning.
This is Volume 1 of a four-volume Kotlin algorithm collection containing 430 algorithms across trees, linked lists, strings, and arrays.
Understand the idea. Follow the state. Explain the result.
Author
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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