The Trading Economics Python Jupyter Notebooks GitHub repository showcases examples on how one can easily interact with our data to make interesting data findings and insights. Trading Economics is a gateway to 20 million indicators from 196 countries. Trading Economics provides its subscribers with a near real-time economic calendar updated 24 hours a day, historical data time series sourced recently and directly from national statistics offices, quotes for thousands of financial markets, and active support.
Users also have the choice to fork or clone this repository into their local computer. Be aware that if you just clone the repository you will not be able to push changes into our master branch. Thus forking is probably better as it allows you to add new files and push changes.
git clone https://github.com/tradingeconomics/notebooks
While many examples can be run with an anonymous guest:guest key, the best path is for you to sign up for a free developer account at https://developer.tradingeconomics.com/ to get your own API key. With a developer account one gets free access to datasets from the Worldbank, the United Nations, the Federal Reserve, the EUROSTAT, and much more. Dont' worry! We will never share your email information with anyone. If you do not want to register, consider, the API key guest:guest is very limited and the jupyter:jupyter key used in our examples is set to only work in some authorized workstations and IP's.
The Trading Economics API is also available for other programming languages. Providing several request methods to query our databases, with samples available in different programming languages, is the best way to export data in XML, CSV or JSON format and to subscribe to updates in real time.
API Documentation:
https://docs.tradingeconomics.com
API Github Examples:
https://github.com/tradingeconomics/tradingeconomics
Learn more about our API at:
https://tradingeconomics.com/api/
With more than 1 billion million page views from more than 200 countries TradingEconomics.com has become a reference for quality economic and financial markets data. Learn more at https://tradingeconomics.com/about-te.aspx
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