Safe C++

Author: Vladimir Kushnir
Publisher: O'Reilly
Pages: 142
ISBN: 978-1449320935
Ebook: 978-1449321352
Audience: Beginner/Mid Level
Rating: 4
Reviewer: Bill Cunningham

 

A short book on avoiding the pitfalls that can happen to the average C++ programmer in the course of writing code

Author: Vladimir Kushnir
Publisher: O'Reilly
Pages: 142
ISBN: 978-1449320935
Ebook: 978-1449321352
Audience: Beginner/Mid Level
Rating: 4
Reviewer: Bill Cunningham

 

This short book could best be described as a HOW-TO in avoiding the pitfalls that can happen to the average C++ programmer in the course of writing code. Helpful tips and examples demonstrate the concepts clearly.

 

 

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Some of the chapters are short, very short. and the book could have been better organized in a more cookbook or quick reference style. The author introduces his own template class to assist the developer in catching errors in the compiler. However some of the advice given is a little on the obvious side of things for the more experienced developers who have been bitten by these mistakes early in their careers. For example, the author suggests to avoid using the new[] operator and instead use the template vector, sound advice if you can do that and can afford the speed hit. Also his suggestion of using smart pointers, while brief, is very useful for those writing non-trivial production programs.

If I were developing a curriculum for C++ students, I would strongly suggest this book to assist in learning the language. Intermediate and beginning developers will benefit more from the book than the highly experienced developers.

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Balancing Coupling in Software Design

Author: Vlad Khononov
Publisher: Addison-Wesley
Date: October 2024
Pages: 320
ISBN: 978-0137353484
Print: 0137353480
Kindle: B09RV3Z3TP
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

This book looks in detail at coupling, the degree of interdependence between software modules, and how to use coupling  [ ... ]



Foundational Python For Data Science

Author: Kennedy Behrman
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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Last Updated ( Thursday, 19 July 2012 )