Expert C++ (Packt)
Monday, 20 April 2020

In this book subtitled "Become a proficient programmer by learning coding best practices with C++17 and C++20's latest features",authors Vardan Grigoryan and Shunguang Wu aim to teach the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20. They start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming, as well as object-oriented programming principles and the C++ Standard Template Library.

 

Author: Vardan Grigoryan and Shunguang Wu
Publisher: Packt
Date: April 2020
Pages: 606
ISBN: 978-1838552657
Print: 1838552650
Kindle: B085G6VVW2
Audience: would-be C++ programmers
Level: Introductory/Intermediate
Category: C/C++

expertc

 

  • Understand memory management and low-level programming in C++ to write secure and stable applications
  • Discover the latest C++20 features such as modules, concepts, ranges, and coroutines
  • Understand debugging and testing techniques and reduce issues in your programs
  • Design and implement GUI applications using Qt5
  • Use multithreading and concurrency to make your programs run faster
  • Develop high-end games by using the object-oriented capabilities of C++
  • Explore AI and machine learning concepts with C++ 

For more detail see and Packt subscription offers see Expert C++

 

For recommendations of C++ books see Top Choice C and C++ Books in our Programmer's Bookshelf section.

 

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Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

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Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.



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Date: August 2022
Pages: 480
ISBN: 978-0137909100
Print: 0137909101
Kindle: B0B123P5GV
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