Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Clean C++: Sustainable Software Development Patterns and Best Practices with C++ 17

Buy
Write maintainable, extensible, and durable software with modern C++. This book is a must for every developer, software architect, or team leader who is interested in good C++ code, and thus also wants to save development costs. If you want to teach yourself about writing clean C++, Clean C++ is exactly what you need. It is written to help C++ developers of all skill levels and shows by example how to write understandable, flexible, maintainable, and efficient C++ code. Even if you are a seasoned C++ developer, there are nuggets and data points in this book that you will find useful in your work.


If you don't take care with your code, you can produce a large, messy, and unmaintainable beast in any programming language. However, C++ projects in particular are prone to be messy and tend to slip into bad habits. Lots of C++ code that is written today looks as if it was written in the 1980s.

It seems that C++ developers have been forg

otten by those who preach Software Craftsmanship and Clean Code principles. The Web is full of bad, but apparently very fast and highly optimized C++ code examples, with cruel syntax that completely ignores elementary principles of good design and well-written code. This book will explain how to avoid this scenario and how to get the most out of your C++ code. You'll find your coding becomes more efficient and, importantly, more fun.



What You'll Learn
  • Gain sound principles and rules for clean coding in C++
  • Carry out test driven development (TDD)
  • Discover C++ design patterns and idioms
  • Apply these design patterns


Who This Book Is For


Any C++ developer and software engineer with an interest in producing better code. 

(HTML tags aren't allowed.)

Statistical Analysis with R For Dummies (For Dummies (Computers))
Statistical Analysis with R For Dummies (For Dummies (Computers))

Understanding the world of R programming and analysis has never been easier

Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical...

Everyday Data Structures
Everyday Data Structures

A practical guide to learning data structures simply and easily

About This Book

  • This book is a very practical, friendly, and useful guide that will help you analyze problems and choose the right data structures for your solution
  • Learn to recognize data patterns for determining which...
Deep Learning with Python: A Hands-on Introduction
Deep Learning with Python: A Hands-on Introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often...

A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R
A Data Scientist's Guide to Acquiring, Cleaning, and Managing Data in R

The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R

Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data...

Pro Python Best Practices: Debugging, Testing and Maintenance
Pro Python Best Practices: Debugging, Testing and Maintenance

Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.

Software engineering is difficult. Programs of any substantial length are...

Business Intelligence Tools for Small Companies: A Guide to Free and Low-Cost Solutions
Business Intelligence Tools for Small Companies: A Guide to Free and Low-Cost Solutions

Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies.

...

©2018 LearnIT (support@pdfchm.net) - Privacy Policy