Join our WhatsApp Channel
Cart / 0.00$

No products in the cart.

Visit Support Portal
No Result
View All Result
Monday, August 3, 2026
  • Home
  • Tutorials
    • Machine Learning
    • Python
    • Web Development
    • Javascript
    • Mathematics
    • Deep Learning
    • Artificial Intelligence
  • Store
  • Our ServicesBook Now
    • Managed Hosting Services
    • Web Development Services
  • Our Softwares
    • JaggoRe AIFree
    • Email ExtractorPaid
    • TimeWell AppFree
Get a Free Quote
  • Login
  • Register
Neuraldemy
Monday, August 3, 2026
Cart / 0.00$

No products in the cart.

No Result
View All Result
Neuraldemy
Get A Free Quote
Home C++

Honest Review: Data Structures And Algorithms Made Easy By Narasimha Karumanchi

In this video I will review Data Structures And Algorithms Made Easy By Narasimha Karumanchi

Amritesh Kumar by Amritesh Kumar
August 3, 2026
in C++
Reading Time: 5 mins read
A A

If you are studying computer science or preparing for software engineering interviews, you have probably searched for the perfect study materials. When I wanted a resource to help me deeply understand core programming concepts mostly so I could create better YouTube videos I noticed one specific book with incredibly high ratings on Amazon. That book is Data Structures And Algorithms Made Easy By Narasimha Karumanchi. I decided to buy it to see if it was really as good as people said. After reading through it, I want to share my honest, first-hand review with you.

Let me start with a warning: if you are a total beginner looking for deep explanations, this book might disappoint you. When I looked at the chapter on Queues, I immediately felt that the theory was lacking. The explanations are not very detailed. In most good textbooks, authors will explain a concept slowly and revisit it multiple times so it really sticks in your mind.

However, reading Data Structures And Algorithms Made Easy By Narasimha Karumanchi feels more like reading a student’s personal study notes. The topics are mostly explained in quick bullet points. The author often leaves it up to the reader to figure things out, assuming you already remember everything from the previous pages. Because it is written like a fast summary, it can be very confusing. I do not recommend this book to anyone who is just starting to learn about data structures and algorithms.

Now, let us talk about the positive side, because there is a big reason why this book is so famous. While it lacks deep theory, it is absolutely amazing for practice problems. If you look at any chapter, you will find a huge number of coding problems related to that specific topic.

The author does a wonderful job of breaking down these problems using helpful diagrams and step-by-step logic. Finding a book that explains problem-solving visually is actually very rare. If you already know the basic theory and just want to solve interview-style questions, then this book is exactly what you need.

But before you buy it, there is a major catch. Every single problem in this book is solved using C and C++. If you are learning to code using Python, Java, or JavaScript, this book is a bad idea. You will waste most of your time struggling to read the syntax instead of learning the actual algorithm. Only buy this book if you are already comfortable reading and writing in C or C++. If you are, you will find the problem explanations and code implementations to be excellent.

I also noticed that the book is written with a very specific goal in mind. It follows a typical Indian textbook style, which means it is heavily focused on getting a specific outcome like passing a competitive exam or clearing a job interview. It is not written to make you a more creative or innovative thinker. It simply gives you the exact tools you need to pass a test.

So, what is my final verdict? If you are a complete beginner, do not start here. Instead, I highly recommend starting with a book by Michael T. Goodrich. His books explain the theories and background concepts in beautiful detail.

Once you have built a strong foundation with a detailed textbook, then you should return to Data Structures And Algorithms Made Easy By Narasimha Karumanchi. At that point, the book will be incredibly useful to you. It is the perfect tool for practicing coding problems and preparing for job interviews, even if it falls short on teaching the initial concepts.

If you want a book that teaches you basic then I recommend watching this video here.

Support

Buy author a coffee

Support
Source: Neuraldemy
Via: Neuraldemy
SummarizeSendShareTweetScan
Previous Post

JavaScript Concepts Revision For Interview

Amritesh Kumar

Amritesh Kumar

My goal here is to simplify AI for all. Please help me improve this platform by contributing your knowledge on machine learning, web dev and data science, or help me improve current tutorials. I want to keep all the resources free except for support and notes.

Related Posts

JavaScript Concept Revision For Interview

JavaScript Concepts Revision For Interview

Git Tutorial: A Beginners Guide To Git And GitHub

Why RAM Prices Will Continue To Rise?

100 CSS Interview Questions

FormData API: A Beginner’s Guide to Native Validation

Strategy Pattern In JavaScript

Support

Buy author a coffee

Support

Support Neuraldemy

Newsletter

Top rated products

  • Probability and Statistics for Machine Learning and Data Science Probability and Statistics for Machine Learning and Data Science
    Rated 5.00 out of 5
    30.00$ Original price was: 30.00$.12.99$Current price is: 12.99$.
  • SVM Notes: Optimization & Implementation SVM Notes: Optimization & Implementation
    Rated 5.00 out of 5
    9.99$ Original price was: 9.99$.4.99$Current price is: 4.99$.
  • spidy mail hunter software Spidy Mail Hunter: Powerful And Intelligent Website & PDF Email Extractor Software (Windows App)
    Rated 4.78 out of 5
    149.00$ Original price was: 149.00$.49.00$Current price is: 49.00$.
  • Linear Algebra For Machine Learning And Data Science Linear Algebra For Machine Learning And Data Science
    Rated 4.71 out of 5
    40.00$ Original price was: 40.00$.24.99$Current price is: 24.99$.
  • Clustering and Outlier Detection A Comprehensive Tutorial Clustering and Outlier Detection 20.97$ Original price was: 20.97$.13.47$Current price is: 13.47$.

Recent Posts

Honest Review: Data Structures And Algorithms Made Easy By Narasimha Karumanchi

Honest Review: Data Structures And Algorithms Made Easy By Narasimha Karumanchi

JavaScript Concept Revision For Interview

JavaScript Concepts Revision For Interview

Git Tutorial: A Beginners Guide To Git And GitHub

August 2026
M T W T F S S
 12
3456789
10111213141516
17181920212223
24252627282930
31  
« Jul    

Neuraldemy

Neuraldemy

Neuraldemy

Software Development

Neuraldemy helps you learn ML, AI, Web Dev and data science from scratch. Addtionally, we also provide web development and hosting services for businesses, and individuals

  • Get Started
  • Contact
  • Book Services
  • Privacy Policy
  • Terms Of Use
  • Support Portal
  • Managed Hosting Terms
  • Web Development Terms
  • Refund Policy
Neuraldemy

© 2026 - A learning platform by Odist Magazine

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms below to register

*By registering into our website, you agree to the Terms & Conditions and Privacy Policy.
All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
Join Our WhatsApp Channel
  • Home
  • Tutorials
    • Machine Learning
    • Python
    • Web Development
    • Javascript
    • Mathematics
    • Deep Learning
    • Artificial Intelligence
  • Store
  • Our Services
    • Managed Hosting Services
    • Web Development Services
  • Our Softwares
    • JaggoRe AI
    • Email Extractor
    • TimeWell App
  • Login
  • Sign Up
  • Cart
Order Details

© 2026 - A learning platform by Odist Magazine

This website uses cookies. By continuing to use this website you are giving consent to cookies being used.
0