Top 10 Python Libraries for Financial Analysis You Need to Know in 2024

Discover the top 10 Python libraries for financial analysis and modeling in 2024, including tools for data import, risk analysis, trading, and visualization.

Python is a powerful tool for financial analysis and development.

From processing raw data to creating sleek and intuitive graphical user interfaces (GUIs), there are countless libraries that can help users build their own financial models.

This article introduces 10 mainstream financial and financial modeling libraries, focusing on specific applications in quantitative finance. These applications involve tasks like data import and transformation, time series and risk analysis, trading and backtesting, Excel integration, and data visualization.