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Professional C++

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Professional C++, 9780470932445 (0470932449), Wrox Press, 2011

Essential reading for experienced developers who are determined to master the latest release of C++

Although C++ is often the language of choice from game programming to major commercial software applications, it is also one of the most difficult to master. With this no-nonsense book, you will learn to conquer the latest release of C++. The author deciphers little-known features of C++, shares detailed code examples that you can then plug into your own code, and reveals the significant changes to C++ that accompany the latest release. You'll discover how to design and build applications that solve real-world problems and then implement the solution using the full capabilities of the language.

Appeals to experienced developers who are looking for a higher level of learning Drills down the extensive changes to the latest C++ standard, C++11, including enhancements made to run-time performance, standard library, language usability, and core language Zeroes in on explaining the more poorly understood elements of the C++ feature set and addresses common pitfalls to avoid Includes case studies that feature extensive, working code that has been tested on Windows and Linux platforms Intertwines text with useful tips, tricks, and workarounds

Packed with best practices for programming, testing, and debugging applications, this book is vital for taking your C++ skills to the next level.

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Transforming Business: Big Data, Mobility, and Globalization
Transforming Business: Big Data, Mobility, and Globalization

A unique perspective of an evolved role for company leadership

Based on the findings of an extensive research project that surveyed more than 5,500 enterprise employees and functional decision makers across the United States and China, Transforming Business: Big Data, Mobility and Globalization explores the influence...

Non-Binary Error Control Coding for Wireless Communication and Data Storage
Non-Binary Error Control Coding for Wireless Communication and Data Storage

Comprehensive introduction to non-binary error-correction coding techniques

Non-Binary Error Control Coding for Wireless Communication and Data Storage explores non-binary coding schemes that have been developed to provide an alternative to the Reed – Solomon codes, which are expected to become unsuitable for...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...

Applications and Challenges of Geospatial Technology: Potential and Future Trends
Applications and Challenges of Geospatial Technology: Potential and Future Trends
This book advances the scientific understanding and application of space-based technologies to address a variety of areas related to sustainable development; including environmental systems analysis, environmental management, clean processes, green chemistry, and green engineering. Geo-spatial techniques have gained considerable interest in...
Elementary Functions: Algorithms and Implementation
Elementary Functions: Algorithms and Implementation
"An important topic, which is on the boundary between numerical analysis and computer science…. I found the book well written and containing much interesting material, most of the time disseminated in specialized papers published in specialized journals difficult to find. Moreover, there are very few books on these topics and they are...
Symbolic Data Analysis and the SODAS Software
Symbolic Data Analysis and the SODAS Software
Classical statistical techniques are often inadequate when it comes to analysing some of the large and internally variable datasets common today. Symbolic Data Analysis (SDA) has evolved in response to this problem and is a vital tool for summarizing information in such a way that the resulting data is of a manageable size. Symbolic data,...
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