The C++ Programmer's Mindset

Learn to break down and solve real-world problems with modern C++ using the proven power of computational thinking.

Key Features:

- Apply computational thinking to tackle complex C++ challenges

- Use abstraction, algorithms, and data structures the C++ way

- Build scalable, efficient, and reusable C++ code through real-world projects

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Solve complex problems in C++ by learning how to think like a computer scientist. This book introduces computational thinking-a framework for solving problems using decomposition, abstraction, and pattern recognition-and shows you how to apply it using modern C++ features. You'll learn how to break down challenges, choose the right abstractions, and build solutions that are both maintainable and efficient.

Through small examples and a large case study, this book guides you from foundational concepts to high-performance applications. You'll explore reusable templates, algorithms, modularity, and even parallel computing and GPU acceleration. With each chapter, you'll not only expand your C++ skillset, but also refine the way you approach and solve real-world problems.

Written by a seasoned research engineer and C++ developer, this book combines practical insight with academic rigor. Whether you're designing algorithms or profiling production code, this book helps you deliver elegant, effective solutions with confidence.

What You Will Learn:

- Apply computational thinking to complex C++ problems

- Break problems into components using abstraction

- Use algorithms and data structures effectively in C++

- Design modular and reusable C++ code

- Analyze and improve algorithmic performance

- Parse, transform, and interpret data in multiple formats

- Scale up with concurrency, GPUs, and profiling tools

Who this book is for:

C++ developers, software engineers, and computer science students who want to enhance their problem-solving capabilities and build scalable, maintainable solutions. Basic familiarity with C++ syntax is assumed, making this ideal for intermediate programmers ready to master abstraction and algorithmic thinking.

Table of Contents

- Thinking computationally

- Abstraction in detail

- Algorithmic thinking and complexity

- Understanding the machine

- Data structure

- Reusing Your Code and Modularity

- Outlining the Challenge

- Building a simple command line interface

- Reading Data from Different Formats

- Finding Information in Text

- Clustering Data

- Reflecting on what we have built

- The Problems of Scale

- Dealing with GPUs and Specialized Hardware

- Profiling with Code