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Sprache: Englisch
Verlag: Careermonk Publications 1/29/2015, 2015
ISBN 10: 8192107590 ISBN 13: 9788192107592
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Sprache: Englisch
Verlag: CareerMonk Publications 2015-01, 2015
ISBN 10: 8192107590 ISBN 13: 9788192107592
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnNarasimha 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.
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Taschenbuch. Zustand: Neu. Data Structure and Algorithmic Thinking with Python | Narasimha Karumanchi | Taschenbuch | Kartoniert / Broschiert | Englisch | 2015 | CareerMonk Publications | EAN 9788192107592 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It is the Python version of 'Data Structures and Algorithms Made Easy'.Table of Contents: goo.gl/VLEUcaSample Chapter: goo.gl/8AEcYkSource Code: goo.gl/L8XxdtThe 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 ChaptersIntroductionRecursion and BacktrackingLinked ListsStacksQueuesTreesPriority Queues and HeapsDisjoint Sets ADTGraph AlgorithmsSortingSearchingSelection Algorithms [Medians]Symbol TablesHashingString AlgorithmsAlgorithms Design TechniquesGreedy AlgorithmsDivide and Conquer AlgorithmsDynamic ProgrammingComplexity ClassesHacks on Bit-wise ProgrammingOther Programming Questions.