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Grokking Algorithms, Second Edition

Grokking Algorithms, Second Edition

Original price was: $49.99.Current price is: $35.99.

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Grokking Algorithms: A Comprehensive Guide to Algorithmic Thinking

In the ever-evolving world of computer science, understanding algorithms is crucial for any aspiring programmer or software developer. “Grokking Algorithms” by Aditya Bhargava is a highly acclaimed book that has been helping readers grasp the fundamentals of algorithms since its first edition. The second edition of this book takes the learning experience to the next level, providing an even more comprehensive and engaging introduction to the world of algorithms.

What’s New in the Second Edition?

The second edition of “Grokking Algorithms” builds upon the success of the first edition, with several significant updates and improvements. The author has added new chapters, examples, and exercises to make the book more comprehensive and easier to understand. Some of the key new features include:

  • New chapters on advanced topics: The second edition includes new chapters on topics such as dynamic programming, greedy algorithms, and NP-completeness, which are essential for any serious student of algorithms.
  • More examples and illustrations: The book now includes more examples and illustrations to help readers visualize and understand complex algorithmic concepts.
  • Improved exercises and solutions: The exercise section has been expanded and improved, with more challenging problems and detailed solutions to help readers practice and reinforce their understanding of algorithms.

Key Features of the Book

“Grokking Algorithms” is designed to be an approachable and accessible introduction to algorithms, making it perfect for beginners and experienced programmers alike. Some of the key features of the book include:

  • Simple and intuitive explanations: The author uses simple, easy-to-understand language to explain complex algorithmic concepts, making the book an ideal resource for readers who are new to algorithms.
  • Practical examples and case studies: The book includes numerous practical examples and case studies to illustrate the application of algorithms in real-world scenarios.
  • Code examples in Python: The book uses Python as the primary programming language for code examples, making it easy for readers to understand and implement algorithms.

Why “Grokking Algorithms” Stands Out

There are many books on algorithms available, but “Grokking Algorithms” stands out from the crowd due to its unique approach and engaging writing style. Here are some reasons why:

  • Approachability: The book is designed to be approachable and accessible, making it perfect for readers who are new to algorithms or programming.
  • Comprehensive coverage: The book covers a wide range of algorithmic topics, from basic concepts to advanced techniques.
  • Engaging writing style: The author’s writing style is engaging and conversational, making the book a pleasure to read.

Conclusion

In conclusion, “Grokking Algorithms, Second Edition” is an excellent resource for anyone looking to learn about algorithms. With its comprehensive coverage, approachable writing style, and practical examples, this book is a must-have for any aspiring programmer or software developer. Whether you’re a beginner or an experienced programmer, “Grokking Algorithms” will help you develop a deep understanding of algorithmic thinking and improve your programming skills. So, if you’re looking to take your programming skills to the next level, look no further than “Grokking Algorithms, Second Edition”.

Customers say

Customers find the book easy to understand and appreciate its comprehensibility, with one mentioning it helped them learn key computer science concepts in just two hours. They consider it a great textbook for beginners, and one customer notes it’s particularly suitable for ADHDers.

13 reviews for Grokking Algorithms, Second Edition

  1. Jorge Alfaro –

    Excellent book
    This book is an excellent resource for beginners and even for those who simply want to refresh their understanding of certain concepts.

  2. Ramiro –

    Love it
    I liked reading this book. I only wish I had this back in college.It is a nice refresh of knowledge. It’s quite basic though.

  3. Creative Identity –

    Excellent resource
    Excellent resource for those starting their journey to writing mature code.

  4. JP –

    Easy to follow
    A good basic introduction with drawings to explain the information. Wish it was more expansive with additional topics.

  5. Sam –

    Fascinating book
    Very well written and interesting

  6. Aaron Kim –

    Good Basics
    A great reintroduction and way more effective and comprehensive than grinding leetcode

  7. Narawit Tubtimtoe –

    Good introduction book so far, even good refresher of the algorithm topics. Well done
    The book is really concise about the topic and can simplified the complex topics really well. Worth the time to read

  8. zachary –

    Good book.
    The information was great for a beginner level.

  9. Arturo –

    I think that the way in which problems are described and solved inside the pages of this book is just beautiful, understandable and efficient. I have been preparing for an interview reviewing important concepts I once had fresh during college, but after some years I have kind of forgotten or grown rust on them. This is a great starting point, and it is worth it!

  10. Alex –

    I don’t have much algorithm experience, so I was nervous about starting this book. It turned out to be really easy to follow. The pictures and simple explanations made it much less confusing than I expected. Each chapter builds up slowly; the examples helped me see how things work. The exercises weren’t too hard, and I liked that the code is in Python, which is beginner-friendly. This is a great place to start if you’re new to this topic and want something that doesn’t feel overwhelming.

  11. Pietro De Domenico –

    There is no way around this, this book is incredibly good.It explains some base, yet key, data structures and algorithms in a way to is fairly simple to comprehend; the illustrations allow you to visualize the structure of the data structures in a far more organic way than just looking at a wall of code, while also allowing you to follow step by step the flow of the algorithms.This, completed with the code given, allow you to learn and comprehend fairly quickly the contents inside, and trust me, this book is both an eye opener to a whole new world of incredibly interesting things to learn and demystifies an entire new branch of IT that goes from “impossibly hard” to “it wasn’t that bad”.Furthermore, when required, the book also explains the underlying computer architecture that favors one type of structure and algorithm based on another. If you read this, you will know why reading from an array is faster than a linked list, but also why writing to it might be incredibly fast or far slower, depending on which situation. Aside from this example, this kind of knowledge allows you to make far more informed decisions.The only slightly negative, but debatable point, is the choice of the language Python.On one hand, this book being in Python instantly becomes accessible to everyone, even without any Python experience grasping the content is incredibly easy.On the other hand, I feel like some concepts will always remain purely hypothetical if you do not have to implement them.For example, the linked list vs array example made before is completely transparent if you use Python, because you do not have to deal with the underlying structure, which is what you care about.Same can be said for hash maps, of course Python, like many other languages and libraries, provides dictionaries, therefore writing your own is useless. However if the entire point is learning how hash maps work, then perhaps writing an implementation and “having to deal with it” is not that bad.Perhaps a less accessible but more practice heavy version of this book in C would be helpful, or at least the reader should try to use a language such as a C to force himself to actually apply the knowledge that some time is purely theoretical of this book.That aside, it’s fantastic, and it’s a great first algorithm book.It made me pass my interview, allowing me to get a fairly substantial career upgrade, I can’t not suggest it.

  12. ZK1989 –

    There are multiple serious, and sometimes very basic mistakes in Python code in this book!!! The author uses CamelCase for variables/function names, what the…?! Answers do not contain full/accurate solutions to exercises!! Book looks like totally unreviewed. Stack Overflow is full of reports on mistakes in this book!! I’m going to make a complaint to the publisher after I complete a list of mistakes. DO NOT BUY IT, IT WILL MISLEAD YOU!!!

  13. Ugur Ardin –

    Book has no damage. I have read the first 100 page. Its very informative and beginner friendly. Also its a good practice to see more examples about the topics with chatgpt, gemini or copilot

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