Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to financial data analysis

Table of Contents

1. Financial Data and Preprocessing
2. Technical Analysis in Python
3. Time Series Modelling
4. Multi-factor Models
5. Modeling Volatility with GARCH class models
6. Monte Carlo Simulations in Finance
7. Asset Allocation in Python
8. Identifying Credit Default with Machine Learning
9. Advanced Machine Learning Models in Finance
10. Deep Learning in Finance