85,49 €
94,99 €
-10% with code: EXTRA
Learning Modern C++ for Finance
Learning Modern C++ for Finance
85,49
94,99 €
  • We will send in 10–14 business days.
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 d…
  • Publisher:
  • ISBN-10: 1098100808
  • ISBN-13: 9781098100803
  • Format: 17.8 x 23.3 x 2.2 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Learning Modern C++ for Finance (e-book) (used book) | bookbook.eu

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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

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  • Author: Daniel Hanson
  • Publisher:
  • ISBN-10: 1098100808
  • ISBN-13: 9781098100803
  • Format: 17.8 x 23.3 x 2.2 cm, softcover
  • Language: English English

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

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