Data Structures and Algorithms Made Easy Paperback – 1 January 2016

It's great book for dsa learning i would say better than learning online course easy and clear understanding

Nice example with explanation by narsimha

"Data Structures and Algorithms Made Easy" by Narasimha Karumanchi is one of the most well-regarded books for learning fundamental data structures and algorithms, particularly for students and software professionals preparing for coding interviews. It is designed to simplify the understanding of complex topics by breaking them down into digestible pieces. The book offers in-depth coverage of a wide array of data structures (such as arrays, linked lists, stacks, and queues) and algorithms (searching, sorting, graph algorithms, etc.).---Pros:1. Comprehensive Content for Interview Preparation:The book is especially popular among job seekers preparing for technical interviews at top tech companies. It covers essential topics required for such interviews, ranging from basic data structures like arrays and trees to advanced concepts like dynamic programming and graph algorithms. Karumanchi’s focus on practical interview questions is one of the key selling points of this book.2. Logical Structure and Clear Explanations:The content is organized in a well-thought-out manner. Each topic starts with an introduction followed by the theoretical concepts and practical problems. The writing is simple and clear, making it easy for even beginners to grasp. Explanations are often followed by step-by-step analysis, which helps readers understand the logic behind solutions.3. Rich Problem Set:The book contains a wealth of exercises, problems, and solutions, which are particularly helpful for building problem-solving skills. The variety of problems provided caters to different levels of difficulty, allowing readers to progress gradually.4. Code Implementation in C/C++:For those familiar with C or C++, this book is valuable because all algorithmic implementations and solutions are provided in these languages. The code is often followed by an explanation of its time and space complexity, which is crucial for technical interviews.5. Focus on Time Complexity:Karumanchi makes it a point to emphasize the time complexity of each algorithm and data structure discussed in the book. This is essential for interview preparation, as understanding the efficiency of an algorithm is a critical aspect of problem-solving in real-world applications.---Cons:1. Lack of Deep Theoretical Background:While the book provides excellent practical insights into solving problems, it sometimes lacks depth in terms of theory. If you're looking for a more theoretical, mathematical explanation of algorithms, this book might not cover that in as much detail as academic textbooks like Introduction to Algorithms by Cormen et al.2. C/C++ Focus Limits Language Diversity:The implementation examples are primarily in C/C++, which may be a limitation for readers who are more comfortable with other programming languages like Python, Java, or JavaScript. Although the logic behind algorithms is universal, beginners may need extra effort to translate these examples into other languages.3. Needs More Visualizations:The book lacks graphical explanations for many data structures, which can be a problem for learners who rely on visual aids to understand concepts like trees, graphs, and dynamic programming techniques. While textual descriptions are clear, additional diagrams would have enhanced the learning experience.4. Formatting and Typesetting:Some readers have noted that the formatting of the book feels somewhat rushed or not as polished as some of the other competing books in the space. The presentation of the content could be improved, particularly when it comes to the arrangement of code snippets and explanation text.---Who Should Read This Book?This book is ideal for:- Students and Beginners looking to build a strong foundation in data structures and algorithms.- Software Engineers preparing for coding interviews at tech companies, especially those with a focus on competitive programming.- Self-learners who want a structured, problem-focused approach to mastering algorithms.It's less suited for:- Readers looking for a deep dive into the theoretical aspects of algorithms.- People looking for examples and implementations in languages other than C/C++.---Final Verdict:"Data Structures and Algorithms Made Easy" is a practical and accessible guide to data structures and algorithms. It's well-structured, with a focus on problem-solving and technical interview preparation, which is why it's highly recommended for anyone aiming for software development roles. However, it falls short in theoretical depth and modern programming language diversity. Overall, it's a great starting point for learners who want to master the core concepts of algorithms and get hands-on with coding problems.

A solid understanding of DSA

In Good Condition & Good customer experience.

It deals with the required mathematics to understand these concepts in a relatively simple manner. I have been reading this book since 1 week.Here are my few cents on this book:1. To understand this book fully, little prior programming experience is required. In particular, ability to understand recursive calls and simple data structures is enough.2. The book begins with introduction to asymptotic analysis, their role in algorithm analysis and why you should learn them. Then it teaches you all the algorithms, beginning with the simpler ones, step by step. Each step is explained nicely, in the most elegant way.3. Some people don't recommend this for beginners. But I, being a complete beginner in algorithms, would suggest you to go for this without any second thought. It's a huge book, heavy to carry. You will struggle with some topics, but devoting time for this will be helpful and eventually you will master algorithms.4. This book explains all concepts in lucid manner and with simpler diagrams.5. Explanations are accurate and to-the-point, coverage of topics is amazingly broad without being overwhelming, there are plenty of solved examples are very good.6. This book cannot be compared with CLR. This book is mainly for interviews and reference.

Many reviews were only about the good stuff about this book. Absolutely it has good stuff. But let me tell you some of the bad things I found in this book.1. AVL trees and other trees like red black, btree etc., are not well explained, seems the author has added just to sell pages.2. Disjoint sets would be a mystery if you didn't know it before.3. There are some printing/code mistakes where you will pluck your hair without even knowing it's the issue with book if you are beginner.Keep internet open side by side while reading this book and continuously browse for any confusions otherwise I bet you will give up on data structures..On the other side Graphs are explained excellently just as stacks, queues, LL, DLL and BST.But really worth for money. Don't completely depend on this book.Better to use this for revising only.

The book is quite good for understanding the topics and understanding how to solve the problems with the exercises.As argued by several other reviews, you can find all the content online and even in more depth but that is true for literally anything now a day. It gives a thorough introduction in itself, and the language used is quite easy.About the test written too small, that is indeed true but should be a problem. I used quite a small font on my computer, so I don't even notice the difference. People who do not use computers as much may feel it is too small.There are indeed quite an amount of error and typing mistakes in the book but I have never felt too hindered by that since it takes about 2 minutes to confirm something online and it usually be clear that something must be an error.I've given it a 4 star rating just because of the typing errors but a good book overall.