This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Author Lee Wittenberg has written the book from the ground up in C++, and uses features of the C++ Standard Template Library to illustrate important concepts.
<ASIN:1683920848>
A unique feature of the text is its use of literate programming techniques (originally developed by Donald Knuth) to present the sample code in a way that keeps the code from overwhelming the accompanying explanations. This book is suitable for an undergraduate data structures course using C++ or for developers needing review.
Author: Lee Wittenberg Publisher: Mercury Learning Date: April 2017 Pages: 200 ISBN: 978-1683920847 Print: 1683920848 Kindle: B071CMSFHF Audience: Student developers Level: Introductory Category: Data Science
- Takes a "minimalist" approach to the material that presents only essential concepts. This enables readers to focus on (and remember) just what they'll need.
- Uses select features of the C++11 standard to simplify the sample code and make it easier to understand.
- Connects the concepts directly to the classes provided the Standard Template Library (STL), and shows how these classes can be implemented in C++.
- Uses "literate programming" techniques that allow the presentation of the sample code to more clearly show the details of the code as well as how the pieces fit together.
Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
To have new titles included in Book Watch contact BookWatch@i-programmer.info
Machine Learning For Dummies, 2e (Wiley)
Author: John Paul Mueller Publisher: For Dummies Date: January 2021 Pages: 464 ISBN: 978-1119724018 Print: 1119724015 Kindle: B08SZHJGJW Audience: General, but not too dumb Rating: 4 Reviewer: Mike James Dummies probably need machine learning to cope...
|
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?
| More Reviews |
|