---
product_id: 76280267
title: "Data Structures and Algorithms Made Easy"
price: "€ 25.25"
currency: EUR
in_stock: true
reviews_count: 8
url: https://www.desertcart.at/products/76280267-data-structures-and-algorithms-made-easy
store_origin: AT
region: Austria
---

# Fast concept mastery Clear, focused content Language-agnostic approach Data Structures and Algorithms Made Easy

**Price:** € 25.25
**Availability:** ✅ In Stock

## Summary

> 📈 Unlock algorithmic mastery and join the elite coder’s club!

## Quick Answers

- **What is this?** Data Structures and Algorithms Made Easy
- **How much does it cost?** € 25.25 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/76280267-data-structures-and-algorithms-made-easy)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Rapid Concept Grasp:** Designed for quick understanding to accelerate your coding career.
- • **Trusted by Top Campuses:** Endorsed by NIT Trichy seniors and thousands of learners worldwide.
- • **Language Neutral Mastery:** Master concepts that transcend programming languages for versatile skills.
- • **Pure Focus on Algorithms:** Zero distractions—just data structures and algorithms, the way they should be.
- • **Crystal Clear Explanations:** Cut through complexity with straightforward, no-fluff teaching.

## Overview

Data Structures and Algorithms Made Easy is a bestselling paperback that delivers clear, language-agnostic explanations focused solely on algorithms and data structures. Praised by top engineering students and professionals alike, it offers a streamlined learning experience that accelerates concept mastery without unnecessary distractions.

## Description

Binding: paperback Language: english It ensures you get the best usage for a longer period

Review: My few cents on this book - 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.
Review: Data Structures and Algorithms Made Easy Paperback - "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.

## Features

- Binding: paperback
- Language: english
- It ensures you get the best usage for a longer period

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #30,952 in Books ( See Top 100 in Books ) #1 in Programming Algorithms #1 in C Programming Language #14 in Databases & Big Data |
| Customer Reviews | 4.4 out of 5 stars 3,413 Reviews |

## Images

![Data Structures and Algorithms Made Easy - Image 1](https://m.media-amazon.com/images/I/61CVP-MfUoL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ My few cents on this book
*by R***. on 27 September 2016*

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.

### ⭐⭐⭐⭐ Data Structures and Algorithms Made Easy Paperback
*by P***R on 31 March 2025*

"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.

### ⭐⭐⭐⭐⭐ Only book with perfectly arranged topics-Definite purchase!
*by B***T on 20 October 2014*

I bought this book from Amazon RG Books seller for Rs.449/- in October 2014. For the people who are hesitant whether to buy this book or not, I am telling you.. DEFINITELY BUY IT. Don't search for pdf version and all in internet. It costs like what, Rs. 500-The cost of two movie tickets in Bangalore or One buffet meal. :) I have searched a lot for a book on Data structures. All other books available are either too complex with much mathematics involved (like Introduction to Algorithms by Cormen) or written too vaguely. This book is the PERFECT book for data structures. It's Straight to the point, no complex mathematics involved. All the topics are arranged in a perfect way. This book is perfect for the people who want to learn all data structures in a quick way so as to apply them. So, ideal for interview preperation. My suggestion is, purchase this book, make a complete reading of it. Then, still if you want to learn more (99%, you won't feel unless you want theory or mathematical part of algorithms), then you can go for books like Cormen.

## Frequently Bought Together

- Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
- Cracking the Coding Interview: 189 Programming Questions and Solutions (Cracking the Interview & Career)
- Grokking Algorithms, Second Edition

---

## Why Shop on Desertcart?

- 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016
- 🌍 **Shop Globally** — Access 737+ million products across 21 categories
- 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price
- 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members)
- 🔒 **Secure Payments** — Trusted payment options with buyer protection
- ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews

**Shop now:** [https://www.desertcart.at/products/76280267-data-structures-and-algorithms-made-easy](https://www.desertcart.at/products/76280267-data-structures-and-algorithms-made-easy)

---

*Product available on Desertcart Austria*
*Store origin: AT*
*Last updated: 2026-05-06*