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. 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 Eigen And Boost Implement Basic Numerical Routines In Modern C++ Understand Best Practices For Writing Clean And Efficient Code