Think Data Structures (O'Reilly)
Wednesday, 13 September 2017

This practical book aims to help you get to grips with data structures and algorithms in a clear, concise, and engaging way.  Author Allen Downey emphasizes practical knowledge and skills over theory and shows how to use data structures to implement efficient algorithms, and then analyze and measure their performance. The book explores the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform.

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Author: Allen B. Downey
Publisher: O'Reilly
Date: July 2017
Pages: 155
ISBN: 978-1491972397
Print: 1491972394
Kindle: B073SJBWKD
Audience: Students and developers wanting to learn data structures
Level: Introductory
Category: JavaData Science

 

  • 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.

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Pages: 332
ISBN: 978-1449329273
Print: 1449329276
Kindle: B00CT3C4IM
Audience: Rubyists who want to know more about computer science
Rating: 4
Reviewer: Mike James

 

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Author: Jennifer Coopersmith 
Publisher: Oxford University Press
Pages: 272
ISBN: 978-0198743040
Print: 0198743041
Kindle: B075ZZRH3M
Audience: Anyone interested in physics
Rating: 4.5
Reviewer: Mike James

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