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.
<ASIN:1491972394>
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: Java, Data 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?
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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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