Guides

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 Getting Started guide covers installation, essential pandas and numpy operations for economists, and your first API call.

New to Python? →↓

Getting Started

Install Python, learn key economics calculations, and make your first API request.

● Introductory

Tutorials

Treasury API

Access federal finance data including revenue, spending, and debt from the US Treasury Fiscal Data API. No API key required.

■ Beginner

Census API

Retrieve US economic indicators from the Census Bureau, including manufacturing, international trade, and construction data.

■ Beginner

BEA API

Retrieve national accounts data from the Bureau of Economic Analysis including GDP, consumer spending, and industry statistics.

◆ Intermediate

BLS API

Retrieve US labor statistics—employment, wages, prices—directly from the Bureau of Labor Statistics (BLS) API.

◆ Intermediate

IMF API

Access international economic data from the International Monetary Fund (IMF). Covers GDP, trade, prices, and more for 190+ countries.

◆ Intermediate

CPS Microdata

Read and analyze Current Population Survey microdata with Python. Build custom labor market statistics from household-level data.

◆◆ Advanced