Notebooks
Trading Economics Python Jupyter Notebooks showcase how everyone can make insights and data science. Trading Economics has more than 20 million indicators from 196 countries plus historical, delayed and live quotes for exchange rates, stocks, indexes, bonds and commodity prices
Install / Use
/learn @tradingeconomics/NotebooksREADME
Trading Economics Notebooks
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.
Getting started
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
Installation
JupyterLab allows users to do data science using a web-based user interface.
pip install jupyterlab
Credentials
While many examples can be run with an anonymous guest:guest key, the best path is for you to Get your own API key.
Protect your credentials! Please set your keys as environment variables before you launch your application.
# linux / mac
export apikey='guest:guest'
# windows
set apikey='guest:guest'
Running
jupyter lab
Running with Docker
Trading Economics Notebooks Docker packages everything you need to run some data science and analytics. Please swap 'guest:guest' with your key and consider that only notebooks into the work folder will be stored.
docker run --rm --name te-notebooks -p 8888:8888 -e apikey='guest:guest' -v "${PWD}":/home/jovyan/work tradingeconomics/notebooks:latest start.sh jupyter lab --LabApp.token=''
Documentation:
https://docs.tradingeconomics.com
Examples:
https://github.com/tradingeconomics/tradingeconomics
Learn more
https://tradingeconomics.com/api/
Support
Do you have any suggestions? Please let us know
https://tradingeconomics.com/contact.aspx?subject=notebooks
