Machine reading IMF data with Python: an example

UPDATE June 16, 2016: The IMF API has changed. My updated tutorial is here:

Download PDF Example – Machine Reading IMF Data with Python

During the past 18 months, the International Monetary Fund has made all of its data available free-of-charge, and developed an API to allow access to data. This means data from sources such as International Financial Statistics (IFS) can be collected without the need for manual download.

I’ve written a crude example using Python. The example retrieves IMF Direction of Trade Statistics to show the declining U.S. share of world exports and the rapid rise of China’s export-led economy.


If you are getting started with Python for economic research, I recommend the free version of the Enthought Canopy deployment, which integrates several useful tools.