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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HTML, CSS & JavaScript (In Easy Steps)
Author: Mike McGrath Publisher: In Easy Steps Date: July 2020 Pages: 480 ISBN: 978-1840788785 Print: 184078878X Kindle: B08FBGXGF1 Audience: would-be web developers Rating: 5 Reviewer Mike James The three core web technologies in a single book.
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SQL Server 2022 Query Performance Tuning (Apress)
Author: Grant Fritchey Publisher: Apress Pages: 745 ISBN:978-1484288900 Print:1484288904 Kindle:B0BLYD98SQ Audience: DBAs & SQL Devs Rating: 4.7 Reviewer: Ian Stirk
A popular performance tuning book gets updated for SQL Server 2022, how does it fare?
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