Data Structure and Algorithmic Thinking with Python by Narasimha Karumanchi.

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Pages
438
Publication Date
2015-01-29
ISBN
9788192107592
Subject Area
Computers
Publication Name
Data Structure and Algorithmic Thinking with Python
Publisher
Careermonk Publications
Item Length
11 in
Subject
Programming / General, Programming / Algorithms, Programming Languages / Python, Software Development & Engineering / Systems Analysis & Design
Publication Year
2015
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.9 in
Author
Narasimha Karumanchi
Item Weight
38.3 Oz
Item Width
8.5 in
Number of Pages
472 Pages
Category

About this product

Product Identifiers

Publisher
Careermonk Publications
ISBN-10
8192107590
ISBN-13
9788192107592
eBay Product ID (ePID)
245891271

Product Key Features

Number of Pages
472 Pages
Publication Name
Data Structure and Algorithmic Thinking with Python
Language
English
Subject
Programming / General, Programming / Algorithms, Programming Languages / Python, Software Development & Engineering / Systems Analysis & Design
Publication Year
2015
Type
Textbook
Author
Narasimha Karumanchi
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Height
0.9 in
Item Weight
38.3 Oz
Item Length
11 in
Item Width
8.5 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.73
Synopsis
It is the Python version of "Data Structures and Algorithms Made Easy." Table of Contents: goo.gl/VLEUca Sample Chapter: goo.gl/8AEcYk Source Code: goo.gl/L8Xxdt 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 include: Organization of Chapters Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queues 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 Hacks on Bit-wise Programming Other Programming Questions, It is the Python version of "Data Structures and Algorithms Made Easy". Table of Contents: goo.gl/VLEUca Sample Chapter: goo.gl/8AEcYk Source Code: goo.gl/L8Xxdt 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 include: Organization of Chapters Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queues 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 Hacks on Bit-wise Programming Other Programming Questions
LC Classification Number
QA76.9.D35K3 2016

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