Learning Modern C++ for Finance
Foundations for Quantitative Programming
$149.37
- Paperback
300 pages
- Release Date
31 May 2023
Summary
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 langua…
Book Details
| ISBN-13: | 9781098100803 |
|---|---|
| ISBN-10: | 1098100808 |
| Author: | Daniel Hanson |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 300 |
| Release Date: | 31 May 2023 |
| Weight: | 744g |
| Dimensions: | 178mm x 233mm |
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Daniel Hanson
Daniel Hanson spent over 20 years in quantitative development in finance, primarily with C++ implementation of option pricing and portfolio risk models, trading systems, and library development. He now holds a full-time lecturer position in the Department of Applied Mathematics at the University of Washington, teaching quantitative development courses in the Computational Finance & Risk Management (CFRM) undergraduate and graduate programs. Among the classes he teaches is graduate-level sequence in C++ for quantitative finance, ranging from an introductory level through advanced. He also mentors Google Summer of Code student projects involving mathematical model implementations in C++ and R.
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