![Financial Modelling: Theory, Implementation and Practice with MATLAB Source](https://codefinance.training/wp-content/uploads/2021/07/Financial-Modelling-with-MATLAB-Source.jpg)
Financial Modelling: Theory, Implementation and Practice with MATLAB Source:
Daniel Wetterau - Jörg Kienitz
A unique contribution to the application of quantitative techniques to financial problems and programming using Matlab.
![Implementing QuantLib](https://codefinance.training/wp-content/uploads/2021/06/implementing-quantlib.jpg)
Implementing QuantLib: Quantitative finance in C++: An inside look at the architecture of the QuantLib library
- Luigi Ballabio
This book is a report on the design and implementation of the QuantLib Library for C++
![Practical C++20 Financial Programming](https://codefinance.training/wp-content/uploads/2021/07/practical-c.jpg)
Practical C++20 Financial Programming: Problem Solving for Quantitative Finance, Financial Engineering, Business, and Economics
Carlos Oliveira -
Updated for C++20, this book covers those aspects of the language that are more frequently used in writing financial software.
![Programming Clojure](https://codefinance.training/wp-content/uploads/2021/07/programming-clojure.jpg)
Programming Clojure: The Pragmatic Programmers Series.
Chas Emerick, Brian Carper & Christophe Grand -
Written by members of the Clojure core team, this book is the essential, definitive guide to Clojure.
![Quantitative Finance: An Object-Oriented Approach in C++](https://codefinance.training/wp-content/uploads/2021/11/Schlogl-cover.png)
Quantitative Finance: An Object-Oriented Approach in C++:
Erik Schlögl -
Providing readers with a foundation in the key methods and models of quantitative finance. Keeping the material as self-contained as possible, the author introduces computational finance with a focus on practical implementation in C++.
![Quantitative Trading – 2nd Ed.](https://codefinance.training/wp-content/uploads/2021/07/quantitative-trading.jpg)
Quantitative Trading – 2nd Ed.: How to Build Your Own Algorithmic Trading Business
- Ernest P. Chan
In this newly revised Second Edition, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.
![QuantLib Python Cookbook](https://codefinance.training/wp-content/uploads/2021/06/QuantLib-Python-Cookbook.jpg)
QuantLib Python Cookbook: Quantitative finance in Python.
Goutham Balaraman and - Luigi Ballabio
A hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.
![Daniel Duffy headshot](https://codefinance.training/wp-content/uploads/2021/07/daniel-duffy.jpg)
Way back in 2013 we spoke with Daniel J. Duffy whose co-authored C# for Financial Markets with Andrea Germani. We talk about what makes C# a great choice for programming financial applications and how it contrasts with C++ in terms of productivity and flexibility.
![Jörg Kienitz headshot](https://codefinance.training/wp-content/uploads/2021/06/Jorg-Kienitz.jpg)
In this extended interview Jacob Bettany talks to Jörg Kienitz, co-author with Daniel Wetterau of Financial Modelling: Theory, Implementation and Practice with MATLAB Source. They discuss the book and talk about the state of Computational Finance as it was back in 2013.
![Yves Hilpisch headshot](https://codefinance.training/wp-content/uploads/2021/07/Yves-Hilpisch.jpg)
In 2015 Jacob Bettany talked with Yves Hilpisch about his book Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging. In a wide-ranging conversation, they covered the state-of-the-art on Python, and why institutions are increasingly choosing the language for financial applications.