One of the best ways to demonstrate the usefulness of the Pandas library is to use it to analyse financial data.
[Post is also available at quaintitative.com]
When we do stuff in Jupyter notebooks, we could save the output in a range of local files, from CSV, to JSON, to HDF5. But there might be instances where it might…
We managed to get Jupyter notebook up in the cloud on AWS in this previous post.