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Think Data Structures

Algorithms and Information Retrieval in Java

Paperback Engels 2017 9781491972397
Verwachte levertijd ongeveer 8 werkdagen

Samenvatting

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

Specificaties

ISBN13:9781491972397
Trefwoorden:Java, Algoritmen
Taal:Engels
Bindwijze:paperback
Aantal pagina's:155
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:25-7-2017

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Over Allen Downey

Allen Downey is a Professor of Computer Science at Olin College of Engineering. He has taught at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.

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Inhoudsopgave

Preface

1. Interfaces
2. Analysis of Algorithms
3. ArrayList
4. LinkedList
5. Doubly Linked List
6. Tree Traversal
7. Getting to Philosophy
8. Indexer
9. The Map Interface
10. Hashing
11. HashMap
12. TreeMap
13. Binary Search Tree
14. Persistence
15. Crawling Wikipedia
16. Boolean Search
17. Sorting

Index

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        Think Data Structures