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This book is designed as an advanced manual for C++ programming that aims to help experienced developers get more out of the latest release and this 4th edition has been revised to cover the changes to C++17. Author Marc Gregoire skims over the basics and dives right in to exploiting the full capabilities of C++17. Each feature is explained by example, each including actual code snippets that you can plug into your own applications. Case studies include extensive, working code that has been tested on Windows and Linux, and the book has expert tips, tricks, and workarounds.
<ASIN:1119421306>
Author: Marc Gregoire Publisher: Wrox Date: April 2018 Pages: 1184 ISBN: 978-1119421306 Print: 1119421306 Kindle: B07BDFW4PN Audience: C++ developers Level: Intermediate/Advanced Category: C/C++
- Demonstrates how to think in C++ in order to maximize the language's far-reaching capabilities and develop effective solutions
- Explains poorly understood elements, warns against pitfalls, and shares tips, tricks, and workarounds for efficiency and performance
- Presents a variety of challenging, real-world program segments versatile enough to plug into any project
- Highlights the new features of C++17 including structured bindings, nested namespaces, constexpr if, and much more
- Features in-depth discussions of new C++17 Standard Library features, such as string_view, optional, parallel algorithms, the file system API, and more
For recommendations of C++ books see Top Choice C and C++ Books in our Programmer's Bookshelf section.
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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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Data Structures & Algorithms in Python
Author: Dr. John Canning, Alan Broder and Robert Lafore Publisher: Addison-Wesley Date: October 2022 Pages: 928 ISBN:978-0134855684 Print: 013485568X Kindle: B0B1WJF1K9 Audience: Python developers Rating: 4 Reviewer: Mike James Data structures in Python - a good idea!
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