Hands-On Python for Finance
Apply powerful Finance models and quantitative analysis with Python
Created by Matthew Macarty
Explore practical ways to use Python for financial analysis and modeling. Build skills in using key libraries for data analysis, visualization, and quantitative finance tasks. Gain hands-on experience with techniques like forecasting, portfolio construction, and risk assessment.
Packt | Feb 2019 | 325 min
What You Will Learn
You will start by working with Python's core data structures and then move on to specialized libraries for finance. Through practical exercises, you'll apply concepts like forecasting and risk modeling to real datasets, building a solid foundation in quantitative analysis as you go.
Key Features
- Work with Numpy, Pandas, and Matplotlib to analyze and visualize financial data
- Apply time series forecasting and linear regression to real-world finance problems
- Simulate portfolios and calculate Value at Risk using Monte Carlo methods
Target Audience
Ideal for developers and analysts who already have some programming experience and want to use Python for financial modeling. If you're looking to move beyond spreadsheets and build robust, code-driven solutions for finance tasks, you'll find this a practical next step.
