Grokking Algorithms - An Illustrated Guide for Programmers and Other Curious People
by Aditya Y. Bhargava
A visual and practical guide to understanding algorithms and data structures in a simple and intuitive way, perfect for beginners and developers who want to strengthen their fundamentals.
Why I Read This Book?
In the age of AI and tools that generate code automatically, it’s easy to use libraries and frameworks without understanding what happens under the hood. But I wanted to solidify fundamental concepts - truly understand how things work, not just use them.
This book helped me consolidate concepts I already knew superficially. The author’s visual approach is excellent - you see how data moves and is processed, not just read theory. This helped me internalize concepts that I previously only “knew” but didn’t really understand.
What I Learned
The book covers the fundamental concepts every developer needs to know:
- Data structures: Arrays, lists, hash tables, graphs
- Essential algorithms: Binary search, sorting, greedy algorithms
- Big O Notation: How to measure algorithm efficiency
- NP-Complete problems: When the perfect solution is impossible
What helped me the most was understanding how to choose the right data structure. Before, I used List for everything without thinking about performance. Now I know when to use Set, Map, or other structures.
Related Post Series
Based on this book, I created a series of posts applying the concepts in Kotlin:
- Kotlin Data Structures - How to choose between List, Set, and Map
- Binary Search - Finding items quickly in sorted lists
- Indexes and ORM - Applying algorithm theory in Kotlin APIs
- Traveling Salesman Problem - Understanding NP-Complete problems in practice
These posts show how to apply the book’s concepts in real development situations.
Rating: 5/5 ⭐
I recommend for:
- Anyone starting with algorithms
- Developers who want to strengthen fundamentals
- Those preparing for technical interviews
Strengths:
- Visual explanations that really help
- Simple and accessible language
- Practical examples in Python
Only caveat: The examples are in Python, but the concepts are universal. I adapted several to Kotlin in my posts.
Conclusion
This book was fundamental for me to truly understand algorithms. If you, like me, always had trouble with books that were too technical, this is the right book.
It’s definitely worth reading and practicing. The concepts I learned here helped me write more efficient code and better understand how to optimize my APIs.