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Open Data Structures

2013 Computers
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Release : 2013
Genre : Computers
Kind : eBook
Book Rating : 385/5 ( reviews)

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Book Synopsis Open Data Structures by : Pat Morin

Download or read book Open Data Structures written by Pat Morin. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.

Data Structures Using Java

2003-09
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Release : 2003-09
Genre :
Kind : eBook
Book Rating : 484/5 ( reviews)

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Book Synopsis Data Structures Using Java by : Langsam

Download or read book Data Structures Using Java written by Langsam. This book was released on 2003-09. Available in PDF, EPUB and Kindle. Book excerpt:

Purely Functional Data Structures

1999-06-13 Computers
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Release : 1999-06-13
Genre : Computers
Kind : eBook
Book Rating : 502/5 ( reviews)

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Book Synopsis Purely Functional Data Structures by : Chris Okasaki

Download or read book Purely Functional Data Structures written by Chris Okasaki. This book was released on 1999-06-13. Available in PDF, EPUB and Kindle. Book excerpt: This book describes data structures and data structure design techniques for functional languages.

Think Data Structures

2017-07-07 Computers
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Release : 2017-07-07
Genre : Computers
Kind : eBook
Book Rating : 319/5 ( reviews)

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Book Synopsis Think Data Structures by : Allen B. Downey

Download or read book Think Data Structures written by Allen B. Downey. This book was released on 2017-07-07. Available in PDF, EPUB and Kindle. Book excerpt: If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.

Data Structures and Algorithms in Python

2013-06-17 Computers
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Release : 2013-06-17
Genre : Computers
Kind : eBook
Book Rating : 735/5 ( reviews)

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Book Synopsis Data Structures and Algorithms in Python by : Michael T. Goodrich

Download or read book Data Structures and Algorithms in Python written by Michael T. Goodrich. This book was released on 2013-06-17. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.

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