Data Structures and Algorithms: Coding Cheatsheet: The DSA Takeover Edition (Coding Interview Patterns)

Interesting book

Incorrect and Scam - kindle edition is only 26 (of 325) pages but costs a full $9.99 - "preview" only mentioned inline - also poor layout, looks like screenshots taken on a 1999 website.

I got this book on a recommendation, so I didn't read the product description. I don't think I should have to read the description to find out that the kindle version is a tiny fraction of the paperback. And since I flipped through more than 15% of its 26 pages, I don't have the option of a refund. It's only $10, but come on. Why not just have the whole book digital? Why sell this under the same listing if it's that different?

Just look at all the other books this author puts out. They are clearly just trying to take people's money. The cheatsheets are often wrong which defeats the whole point

To be honest, this book just isn’t worth the money. The print quality is pretty poor, and there are mistakes that you really wouldn’t expect from a reliable resource. In just the first few pages, I came across two major errors: 1. The book claims that the space complexity of Linear Search is O(N), when it’s actually O(1). 2. It misrepresents the core concept of Binary Search, directing readers to search the left half of the array if the target is greater than the middle element, when it should clearly be the right half. These are mistakes that will likely get you laughed out of your technical interview. Ironically, the book’s own Binary Search code is implemented correctly, which only makes the written explanation look worse. Given these mistakes I didn't even bother with the rest of the book and I can’t help but question all the glowing five-star reviews. I’m not too bothered by the print quality, but for 31 euros, I at least expect accurate information. I’ll be returning this.

I found this cheatsheet very useful for revising Data Structures and Algorithms concepts quickly. The content is well-organized and easy to understand, making it convenient to review important topics before exams, interviews, or coding practice. It covers key concepts in a concise format without overwhelming the reader. As a student, I liked how it saved time and helped me refresh important DSA topics efficiently. Overall, it's a great resource for beginners as well as anyone looking for a quick revision guide.

The typesetting is awful, it's as if they printed a webpage into a book. There is no forward, or good narration on what they are trying to present - it's like someone's obsidian notebook was sent straight to the printers.

I recently read “Data Structures and Algorithms: Coding Cheatsheet – The DSA Takeover Edition” and it turned out to be a very structured and practical guide for revising core DSA concepts quickly. What I really liked is how every chapter is presented as a cheatsheet — covering time & space complexity tables, key patterns, important algorithms, and C++ STL snippets in a concise way. It saves a lot of time compared to going through scattered resources. The sections that helped me the most are: -> Arrays & Two Pointer Technique -> Linked List (including slow and fast pointer approach) -> Graph Techniques (BFS, DFS, Topological Sort, Dijkstra, Bellman-Ford, Floyd Warshall) -> Dynamic Programming basics -> STL usage for competitive coding The graph patterns section especially gave me clarity on when to use BFS, when to use Dijkstra, and how to approach DAG problems with topological sorting. The STL explanations (like vector, set, map, priority_queue, lower_bound, etc.) are very helpful for coding interviews and competitive programming. This book is great for: -> Quick revision before interviews -> Building strong DSA fundamentals -> Understanding algorithm selection patterns -> Improving implementation speed in C++ Overall, a very compact yet powerful DSA revision guide. Definitely recommended for students and developers preparing for coding interviews.

I recently read DSA Coding Cheatsheet and found it extremely helpful for strengthening my fundamentals, especially in Linked Lists. The book explains concepts in a very concise and structured way, making it perfect for quick revision before interviews or coding practice. The Linked List section clearly explains the difference between arrays and linked lists in terms of memory allocation and access time. I particularly appreciated the explanation of Singly, Doubly, and Circular Linked Lists along with their time and space complexity comparisons. The Fast and Slow Pointer technique was explained in a simple manner, which helped me better understand how to detect cycles and find the middle of a linked list efficiently. The complexity tables and key coding patterns make it easy to remember when operations take O(1) and when they take O(N). Overall, this book is very useful for building clarity in DSA concepts and improving problem-solving confidence for technical interviews. Also it is a very good book for revision one day before placement assessment