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Learning Modern C++ for Finance: Foundations for Quantitative Programming
This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems. Many programmers believe that C++ is too difficult to learn. Author Daniel Hanson demonstrates that this is no longer the case, thanks to modern features added to the C++ Standard beginning in 2011.
Financial programmers coming from Python or another interpreted language will discover how to leverage C++ abstractions that enable safe implementation of financial models. You’ll also explore how popular open source libraries provide additional weapons for attacking mathematical problems. C++ programmers unfamiliar with financial applications also benefit from this handy guide.
- Learn C++ basics from a modern perspective: syntax, inheritance, polymorphism, composition, STL containers, and algorithms
- Dive into newer features and abstractions including functional programming using lambdas, task-based concurrency, and smart pointers
- Implement basic numerical routines in modern C++
- Understand best practices for writing clean and efficient code
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