Think Data Structures (O'Reilly)
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.



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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The Internet of Risky Things

Author: Sean Smith
Publisher: O'Reilly
Pages: 240
ISBN: 978-1491963623
Print: 149196362X
Audience: IoT programmers
Rating: 2
Reviewer: Harry Fairhead

The IoT is a scary place, reading this book makes it all the more scary.

Python 201

Author: Michael Driscoll
Publisher: Leanpub
Pages: 296
ISBN: 978-0996062831
Kindle: B01LMUAYSO
Audience: Python programmers ready to go second level
Rating:  4
Reviewer: Sue Gee

What can you expect from a book on "Intermediate Python"?

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