The Interactive Handbook on Data Structures & Algorithms

A new paradigm for learning.

This one-of-a-kind interactive book offers a hands-on approach to learning data structures and algorithms, featuring visual explanations, code execution playback, an assortment of problems and an embedded Python environment. It’s designed to support both beginners and more experienced learners through active exploration.

Visualize Everything.

Each topic is accompanied by rich interactive intuitive visualizers that let you experiment and play with.

All interactive elements are dynamic and are procedurally generated based on your inputs.

A playback system lets you pause, rewind and step through any part of the visualization.

Code Playback.

Rewind, pause or restart code execution and understand how each variable and its values change as the execution of the program unfolds in real time.

Custom Inputs let you experiment with edge and corner cases.

Test your might.

Hundreds of challenges with varying levels of difficulty are available at the end of each topic.

Stuck? Each Problem is accompanied by a detailed explanation of how to approach solving it.

Multiple solutions to each problem accompanied by customizable graphic visualizations and interactive implementations in Python.

Code
12:56
Output
Edit. Run. Test. Repeat.

A minimalist development environment is available right inside the book for seemlessly editing code.

An embedded Python interpreter lets you run and test your code.

A built-in code evaluator checks the validity of your code and verifies your solutions against edge and corner cases.

Master Space-Time.

Understand and derive the time and space complexity analysis of several algorithms and data structures.

Each problem and code snippet also features a detailed complexity and tradeoff analysis between different algorithms.

A Comprehensive Treatment.

668

Interactive
Pages

22

Chapters

300+

Customizable
Visualizations

100+

Solved
problems

250+

Interactive Code
snippets

Table of Contents

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1. Complexity Analysis

Learn how to evaluate algorithms by quantifying their time and space requirements using Big O, Theta, and Omega notations.

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2. Arrays

Understand arrays with their contiguous memory storage for fixed-size sequences, supporting constant-time indexing and linear-time insertion or deletion at arbitrary positions. Dynamic Arrays are also discussed at length.

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3. Hash Tables

Describe associative arrays that map keys to values via hash functions, enabling average-case constant-time insertions, deletions, and lookups. Learn about how hashing and compression functions work along with utilizing different techniques on how to handle key collisons.

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4. Search

Review techniques such as linear search and binary search for efficiently locating elements within data structures.

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5. Sorting

Examine algorithms like bubble sort, selection sort, insertion sort, merge sort, quicksort, and heapsort for ordering data based on various performance trade-offs.

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6. Strings

Details storage and manipulation of character sequences, including operations for concatenation and substring search.

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7. Matrices

Learn about two-dimensional array representations, and several algorithms for traversal and arithmetic operations.

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8. LinkedLists

Learn to operate with singly, doubly, and circular linked lists for dynamic data sequences with constant-time insertions and deletions at known positions.

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9. Stacks

Use different variants of last-in, first-out (LIFO) structures for managing nested operations, function calls, and undo/redo mechanisms.

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10. Queues

Understand first-in, first-out (FIFO) structures for scheduling tasks, buffering data streams, and breadth-first traversal.

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11. Recursion

Learn a different way to solve problems by utilizing functions that call themselves with smaller inputs, and gain a deeper insight into the analysis of recursion depth and base cases.

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12. Dynamic Programming

Learn different techniques to optimize recursive problems by storing and reusing solutions to overlapping subproblems to achieve polynomial-time solutions.

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13. Trees

Explore different hierarchical node-based structures, including definitions, traversals (preorder, inorder, postorder), and common use cases.

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14. Heaps

Learn about binary trees that maintain the heap order, their variants, operations and how they’re used for efficient priority queue implementations.

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15. Binary Search Trees

Cover ordered binary trees supporting logarithmic-time search, insertion, and deletion in balanced scenarios.

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16. Tries

Learn to use prefix trees for storing strings, enabling efficient retrieval and prefix-based operations.

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17. Graphs

Define vertex and edge representations for modeling networks, directed and undirected graphs, and common storage formats.

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18. Graph Algorithms

Have a deeper understanding of common graph traversal (DFS, BFS), shortest paths (Dijkstra’s, Bellman-Ford), topological sorting(Kahn’s Algorithm), and cycle finding algorithms.

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19. Union-Find Structure

Learn how to implement and use disjoint-set data structures for maintaining element partitions with near-constant-time union and find operations.

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20. Minimum Spanning Trees

Explain and implement algorithms such as Kruskal’s and Prim’s for connecting all vertices with minimal total edge weight.

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21. Backtracking

Describe depth-first search of solution spaces with pruning to solve constraint satisfaction problems.

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22. Bit Operations

Learn to utilize low-level operations (AND, OR, XOR, shifts) for efficient arithmetic and algorithmic optimizations.

Buy Once. Own Forever.

No Subscriptions.

No In-App purchases.

No Signups.

No Tracking.

No DRM.

No Internet Connection Required.

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Free Updates for Life.

Planned updates include additional solved problems and interactive content, Dark Mode, Improved QOL features, Support for more programming languages and more...

The Interactive Data Structures & Algorithms Handbook

Purchase

$59.99
$39.99
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Preview
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Chapter

FAQs

Updated May 8, 2025

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What makes this book different from other resources?

The book prioritizes active learning as opposed to reading swaths of information. The reading material has been thoughtfully supplemented with interactive diagrams that allow for the reader to actively engage with the concepts discussed. Unlike regular computer science textbooks of the same vein, all of the code fragments and diagrams included in the book can be interacted with.

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Who is this book for?

This book is perfect for several audiences: Students and self-learners can use it to understand fundamental concepts in an engaging manner. Those who are preparing for their techincal interviews, as it provides a comprehensive but succinct treatment of all topics they might encounter during their interviews. The challenges and their corresponding interactive solution guides will also prove invaluable for those pressed for time. Finally, the book can be used as a dependable reference for experienced developers and competitive programmers.

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What are the recommended system requirements to use the book?

For optimal performance the following specifications are recommended:

MacOS : macOS 11.0 (Big Sur) or later, Intel Core i5 processor or Apple M1 chip, 8 GB RAM, 1 GB of available disk space.

Windows : Windows 10 (64-bit), Intel Core i5 (4th gen), 8 GB RAM, DirectX 11 compatible GPU,1 GB of available disk space

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Do I need an internet connection to use the book?

No. Once you've downloaded the book, you can access it offline!

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Will I have access to future versions of the book?

Yes! Once you purchase the book, you'll have access to all future updates and revisions at no additional cost.

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Do you offer discounts for students?

Yes! We do offer a 25% discount for students with a valid student ID. Send me a DM @ElijahYilma and I will provide you with a discount code.

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How do I get updates for the book?

All revisions and updates will be sent to the email address associated with your purchase.

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Is there a refund policy?

Sorry, but due to the nature of the product, we do not offer refunds. If you want to check out what the book is like before making a purchase, you can download the free 40-page preview here.

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What should I do if I encounter a bug?

If you encounter any issues or errors in the book, you can submit it here. The bug fix will then be included in the next update, and will be sent to you once available.

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What will future updates for the book include?

Planned updates include additional solved problems and interactive content, dark mode, Improved Quality of life features like notetaking and bookmarking, support for more programming languages and more...