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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Clean Craftsmanship

Author: Robert C. Martin
Publisher: Addison-Wesley
Date: November 2021
Pages: 416
ISBN: 978-0136915713
Print: 013691571X
Kindle:B095C16LSW
Audience: General
Rating: 4
Reviewer: Mike James
Well, I'm a clean craftsman - are you?



Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?


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