Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition by Eryk Lewinson
**Intact Gift Giving Condition book**
In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions. Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book includes a free eBook in the PDF format Key Features Explore unique recipes for financial data processing and analysis with Python Apply classical and machine learning approaches to financial time series analysis Calculate various technical analysis indicators and backtest trading strategies Book Description Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries.