Python for Macroeconomic Data Analysis

The power, speed, and versatility of Python and its body of packages make it an increasingly useful tool for those working with macroeconomic data. I’ve written a few examples of how this open-source programming language can be used to work with real-world economic data.

Examples of Python for Macroeconomic Data Analysis:

Global trade network analysis with Python: central players in bluefin tuna and large aircraft

Using the IMF Data API: International Financial Statistics (IFS)

Using the IMF Data API: Direction of Trade Statistics (DOTS) more complete example

Oil Price Data with Python

US Dollar index data from FRED

Additional resources:

Introductory level: Data Camp Intro to Python for Data Science

Intermediate: Data analysis in Python with pandas (Wes McKinney demonstration video)

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