Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 1st Edition

by Narasimha Karumanchi (Author)

452 ratings

ISBN-13: 978-8192107592

ISBN-10: 8192107590

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Peeling Data Structures and Algorithms:

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem.

"Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.

Topics Covered:

Organization of chapters
Introduction
Recursion and Backtracking
Linked Lists
Stacks
Queues
Trees
Priority Queue and Heaps
Disjoint Sets ADT
Graph Algorithms
Sorting
Searching
Selection Algorithms [Medians]
Symbol Tables
Hashing
String Algorithms
Algorithms Design Techniques
Greedy Algorithms
Divide and Conquer Algorithms
Dynamic Programming
Complexity Classes
Miscellaneous Concepts

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Editorial Reviews

About the Author

Narasimha Karumanchi is the founder of CareerMonk Publications and author of few books on data structures, algorithms, and design patterns. He was a software developer who has been both interviewer and interviewee over his long career. Most recently he worked for Amazon Corporation, IBM Software Labs, Mentor Graphics, and Microsoft. Narasimha holds an M.Tech. in computer science from IIT, Bombay, and B.Tech. from JNT university. He authored the following books which got translated to international languages: Chinese, Japanese, Korea and Taiwan. Also, around 58 international universities were using these books as reference for academic courses.

Data Structures and Algorithms Made Easy
IT Interview Questions
Data Structures and Algorithms for GATE
Data Structures and Algorithms Made Easy in Java
Coding Interview Questions
Peeling Design Patterns
Elements of Computer Networking
Data Structure and Algorithmic Thinking with Python
Algorithm Design Techniques

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Product details

Publisher ‏ : ‎ CareerMonk Publications; 1st edition (January 29, 2015)
Language ‏ : ‎ English
Paperback ‏ : ‎ 436 pages
ISBN-10 ‏ : ‎ 8192107590
ISBN-13 ‏ : ‎ 978-8192107592
Item Weight ‏ : ‎ 2.22 pounds
Dimensions ‏ : ‎ 8.5 x 0.99 x 11 inches

Best Sellers Rank: #622,592 in Books (See Top 100 in Books)
- #132 in Computer Programming Structured Design
- #172 in Computer Algorithms
- #332 in Computer Systems Analysis & Design (Books)

Customer Reviews:
452 ratings

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Narasimha Karumanchi

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Narasimha Karumanchi is the founder/author of CareerMonk Publications, Principal Software Engineer at Microsoft, and author of a few books on data structures, algorithms, and design patterns. He was a software developer who has been both interviewer and interviewee over his long career. Most recently he worked for Amazon Corporation, and IBM Software Labs. Narasimha holds M.Tech. in computer science from IIT, Bombay, and B.Tech. from JNT University. He authored the following books which got translated to international: Chinese, Japanese, Korean, and Taiwanese. Also, around 80 international universities were using these books as references for academic courses.

Data Structures and Algorithms Made Easy

IT Interview Questions

Data Structures and Algorithms for GATE

Data Structures and Algorithms Made Easy in Java

Coding Interview Questions

Peeling Design Patterns

Elements of Computer Networking

Data Structures and Algorithmic Thinking with Python

Data Structures and Algorithmic Thinking with Go

Algorithm Design Techniques

Customer reviews

5 star		57%
4 star		22%
3 star		9%
2 star		4%
1 star		8%

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Top reviews from the United States

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Preeti Agarwal

Hate it when people plagiarize and write books from copying ...

Reviewed in the United States on August 5, 2017

Verified Purchase

The author has blatantly copied from various online sources and pasted it in his book. He has also copied it along with the surrounding text in some places and along with bugs. Hate it when people plagiarize and write books from copying from others and without knowing much about the subject being written.

17 people found this helpful

Helpful

A. H.

OK as a reference for algorithms and data structures in Python, but lacks polish and depth

Reviewed in the United States on May 31, 2016

Verified Purchase

1) Problems are not worded clearly and often not explained well

2) Code examples / solutions use very poor style and conventions that should not be used in interviews, let alone books (i.e. use of global variables when there are better work arounds, poor variable names, things like "while (1):" as opposed to "while True:")

Problem Solving with Algorithms and Data Structures by Miller and Ranum is free and better.

9 people found this helpful

Helpful

A. Aden

This should be on the book shelf of every computer science student and working professional.

Reviewed in the United States on May 21, 2015

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An excellent book for everyone who is interested in learning more about data structures and algorithms. Also, Python is a language that's becoming very popular as a web language and for data scientists. This means that the knowledge gained about algorithms and data structures will greatly aid any reader in becoming a better python programmer and computer scientists.

Also, I like how this book places more emphasis on learning about the algorithms and data structures themselves rather than on the mathematical theory behind them, as you would find in Cormen's book for instance. Cormen's book is great if you're working on a PhD in computer science, but if you just want to gain a good understanding of algorithms and data structures for education and the workplace Karumanchi's book is the one to buy.

Every computer science student and working computer science professional should own a copy of this book!!!

15 people found this helpful

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ps_reader

If this weren't bad enough the quality of the paper stock of this ...

Reviewed in the United States on January 26, 2017

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Do not buy this book.! This book is full of typos and mistakes. There is no clear explanation of the code and it is not even idiomatic code. The author simply took his other books and swapped out the language.

Additionally I have found parts of the book that were copied from the internet. The code from section 6.11 on BST on pages 180 and 181 were taken directly including comment from a page on the University of Toronto.

The bucket sort code on page 296 is taken directly from .geekviewpoint.com.

Nowhere is there an attribution or footnote crediting the actual authors of this. Using other's work without attributing credit could be considered plagiarism.

If this weren't bad enough the quality of the paper stock of this book is a joke. It's translucent like typing paper. The text printed on the back of each page bleeds through to the current page.

As if all of this weren't bad enough the book doesn't have an index! What book doesn't have an index? Good luck finding anything.

12 people found this helpful

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NoEinstein

Fascinating subjects, but error-riddled code

Reviewed in the United States on August 26, 2017

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The detailed subjects covered are fascinating, and just what I was looking for. Unfortunately, the code itself and sometimes the text has so many errors, that I wound up spending many many hours trying to debug it rather than learning the material. If anyone can recommend a well-coded book covering the same subjects, that would be helpful.

6 people found this helpful

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Félix

There a thousands of typos in this book, all ...

Reviewed in the United States on January 18, 2016

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There a thousands of typos in this book, all of them regarding indentation in the python code, be aware!
For example:
def insertNode(root, node):
if root is None:
root = node
else:
if root.data > node.data:
if root.left == None:
root.left = node
else:
insertNode(root.left, node)
else:
if root.right == None:
root.right = node
else:
insertNode(root.right, node)

In GitHub is ok, but not in the book. I guess is a victim of copy/paste :D

9 people found this helpful

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Dave J

Useful but filled with typos...

Reviewed in the United States on August 17, 2017

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Useful stuff here, but you better have a lot of time to digest it and get past the typos and other errors. Not uncommon to have the text say one thing and the code rather another. Numerous solutions simply pulled out of thin air...

3 people found this helpful

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Angela

This book has a good collection of interview questions and arranged properly into chapters

Reviewed in the United States on October 23, 2016

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This book has a good collection of interview questions and arranged properly into chapters, but both the English and code examples are not polished.
- A lot of typos
- Bad python coding style
- Many of the answer does not match its explanation above at all
- The explanation of questions does not match its definition in the same chapter

I do like to see a better python interview preparation book besides this one.

6 people found this helpful

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Top reviews from other countries

Just another guy

Mediocre of theory, terrible for actually implementing things in Python

Reviewed in India on April 17, 2021

Verified Purchase

The theory is mediocre, the actual implementation in python (which is probably why you are buying this book) is terrible. The writer(s) have no idea how to write clean and understandable python code. The code snippets are given in the book are printed in the same serif font as the rest of the book, people use monospace fonts for a reason, which is lost on the writer(s). There are a lot of DS implementation that are incomplete or misleading, if you are someone who is new to dsa or python this will just confuse and frustrate you. You are better off learning these things online. The theory part is not very well written and lack any polish it seems like a cash grab. 1/10 would not recommend.

17 people found this helpful

BoasWhip

Excellent Text

Reviewed in the United Kingdom on March 15, 2017

Verified Purchase

A clear style and a thorough treatment that helps to think about the algorithms and data structures. Two other texts that I have been studying from failed to get me thinking about the material. The Python angle made this indispensable for me.

3 people found this helpful

Manthan Srivastava

Best practical book in the Market to study Data Structures and Algorithims

Reviewed in India on September 19, 2018

Verified Purchase

I have tried other books before and I must say its really awesome book, certainly better than any other book out there in the market. The gradual ease with which with author scales up the complexity of the problems throughout the chapter and how detailed solutions are provided for every question starting from brute force to the best approach is just priceless.
This book has made Data Structures and Algorithms very much easy for me.

21 people found this helpful

Mr M A Anthony

A superb book.

Reviewed in the United Kingdom on July 4, 2019

Verified Purchase

The book surpassed my expectation. It’s simply just brilliant.

M116

Excellent Book

Reviewed in the United Kingdom on February 7, 2020

Verified Purchase

Am very happy with the book

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Data Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles 1st Edition

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