English | 2023 | ISBN: 9781098100797 | 300 pages | EPUB | 1 MB

A lot of financial modeling has gravitated toward Python, R, and VBA, but many developers hit a wall with these languages when it comes to performance. 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.

Financial programmers coming from Python or another interpreted language will discover how to leverage C abstractions that enable safer and quicker 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 will also benefit from this handy guide.

Learn C basics: 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

Employ common but nontrivial financial models in modern C

Explore external open source math libraries, particularly n and Boost

Implement basic numerical routines in modern C

Understand best practices for writing clean and efficient code