Python For Finance Cookbook - Code Repository

Python For Finance Cookbook
published: January 31st, 2020

Paperback: 432 pages
Publisher: Packt Publishing
Language: English

Links

• Amazon Page
• Packt Page

Table of Contents

1. Financial Data and Preprocessing
2. Technical Analysis in Python
3. Time Series Modeling
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

---

Eryk Lewinson. Python For Finance Cookbook. Packt Publishing, 2020.

@book{Lewinson2019,  
address = {Birmingham, UK},  
author = {Lewinson, Eryk},  
edition = {1},  
isbn = {9781789618518},   
publisher = {Packt Publishing},  
title = {{Python For Finance Cookbook}},  
year = {2020}  
}