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![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.
![Foundations of Computational Finance with MATLAB®](https://codefinance.training/wp-content/uploads/2021/06/Foundations-of-computational-finance-with-Matlab.jpg)
Foundations of Computational Finance with MATLAB®:
Graduate from Excel to MATLAB® to keep up with the evolution of finance data.
Ed McCarthy -
Foundations of Computational Finance with MATLAB® is an introductory text for both finance professionals looking to branch out from the spreadsheet, and for programmers who wish to learn more about finance.
![An Introduction for Statistical Learning (with R examples)](https://codefinance.training/wp-content/uploads/2021/08/An-Introduction-to-Statistical-Learning.jpg)
An Introduction for Statistical Learning (with R examples):
Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani -
This book presents some of the most important modeling and prediction techniques in Statistical Learning as well as exploring relevant applications.
![Quantitative finance with R and cryptocurrencies](https://codefinance.training/wp-content/uploads/2021/08/Quantitative-Finance-with-R-and-cryptocurrencies.jpg)
Quantitative finance with R and cryptocurrencies:
Dean Fantazzini -
The aim of this book is to provide the necessary background to analyse cryptocurrencies markets and prices using quantitative techniques.
![](https://static.tapfiliate.com/607708f0af3c3624768622.jpeg?a=93850-14d64c&s=1964455-625d19)