Each tutorial below walks through a real example—from API request to finished chart—using pandas, requests, and Jupyter notebooks. They cover six major data sources for macroeconomic research.
New to Python? The Setup guide covers installation, essential pandas and numpy operations for economists, and your first API call.
New to Python? →↓
Install Python, learn key economics calculations, and make your first API request.
● Introductory
Access federal finance data including revenue, spending, and debt from the US Treasury Fiscal Data API. No API key required.
■ Beginner
Retrieve US economic indicators from the Census Bureau, including manufacturing, international trade, and construction data.
■ Beginner
Retrieve national accounts data from the Bureau of Economic Analysis including GDP, consumer spending, and industry statistics.
◆ Intermediate
Retrieve US labor statistics—employment, wages, prices—directly from the Bureau of Labor Statistics (BLS) API.
◆ Intermediate
Access international economic data from the International Monetary Fund (IMF). Covers GDP, trade, prices, and more for 190+ countries.
◆ Intermediate
Read and analyze Current Population Survey microdata with Python. Build custom labor market statistics from household-level data.
◆◆ Advanced