Data Structure and Algorithmic Thinking with Python


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Table of Contents: Sample Chapter: Source Code: Errata: Found issue? 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 chaptersIntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queue and HeapsDisjoint Sets ADTGraph AlgorithmsSorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts
Publisher ‏ : ‎ Career Monk; First Edition (1 January 2015); CareerMonk Publications
Language ‏ : ‎ English
Paperback ‏ : ‎ 438 pages
ISBN-10 ‏ : ‎ 8192107590
ISBN-13 ‏ : ‎ 978-8192107592
Item Weight ‏ : ‎ 1 kg 10 g
Dimensions ‏ : ‎ 21.59 x 2.51 x 27.94 cm
Country of Origin ‏ : ‎ India
Net Quantity ‏ : ‎ 1 Count
Importer ‏ : ‎ Careermonk Publications
Packer ‏ : ‎ CareerMonk Publications
Generic Name ‏ : ‎ Book
Best Sellers Rank: #22,479 in Books (See Top 100 in Books) #4 in Programming Algorithms #6 in C & C++ Programming #12 in Python Programming
Customer Reviews: 4.3 4.3 out of 5 stars 836 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });

Customers say

Customers find the book excellent for learning data structures, with detailed explanations of algorithms and comprehensive coverage of important topics. Moreover, the content receives positive feedback, and customers consider it a must-read for Python programmers. However, the explanation quality and readability receive mixed reviews, with some finding it difficult to understand and read. Additionally, customers disagree on whether it’s suitable for beginners, and while some consider it worth the money, others find it not worth the investment. Furthermore, the book contains numerous typos in the answers.