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�Peeling�Data Structures and Algorithms�[re-printed on 21-January-2016]:
�Table of Contents:�goo.gl/VLEUca�Sample Chapter:�goo.gl/8AEcYk�Source Code:�goo.gl/L8Xxdt�Errata: goo.gl/EVftls�Found issue?�goo.gl/forms/uLXGYpyuzX�Videos:�goo.gl/BcHq74
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 ��
- Sales Rank: #28231 in Books
- Published on: 2015-01-29
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x 1.08" w x 8.50" l, 1.90 pounds
- Binding: Paperback
- 476 pages
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
Most helpful customer reviews
107 of 107 people found the following review helpful.
This should be on the book shelf of every computer science student and working professional.
By Darkside
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!!!
110 of 111 people found the following review helpful.
Useful for job interview preparation
By Prashant P. Shiralkar
I used this book to prepare for summer internships. I rate this book slightly above average because as claimed by the book, it is just what I needed to prepare for my interviews - the book is more of a series of lecture notes from a class on Data Structures and Algorithms with a variety of problems. On the positive side, the book focuses on conveying the most essential aspects of each topic followed by problems of increasing difficulty. The solutions are often supported by full Python code. However, there are a number of grammatical errors, as well as a few bugs in the code. And, let me mention that I have not been very thorough during my preparation; so I bet one would spot even more errors. My suggestion to the authors would be to review and rectify the errors first, next improve on the exposition and only then publish the next version/reprint. As time permits, I would be happy to add to the book's errata to bring to your attention the aforementioned errors. Moreover, I felt the book is a little bulky to carry. It would be more convenient if it could be reduced to 3/4th its current size even if it calls for adding more pages; and I think the figures, codes and the surrounding space can be used more effectively for the contextual text to aid in reducing the overall book size.
95 of 95 people found the following review helpful.
Good book but almost exactly the same content word for ...
By Robert Sparks
Good book but almost exactly the same content word for word as Data Structures and Algorithms Made Easy by the same author. He just swapped out languages. Ill still keep both books for references though.
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