I’ve started implementing some sophisticated DITA data processing in Python, including using the Python xlsxwriter to easily generate Excel spreadsheets, something that would be more work to add to BaseX using Java and the Apache POI libraries.
I’m also seeing that the Python streamlit tool, which provides sophisticated web pages for visualizing Python-based data (i.e., graphing from Pandas dataframes) would be a convenient way to generate graphs.
I’m wondering:
Part of my new focus on Python is that my colleagues are Python-literate but not XQuery or XSLT literate, so it turns out to be best for us to do as much in Python as possible. But also the cost of doing really cool things in Python is
just really low, streamlit being a good example.
Thanks,
E.
_____________________________________________
Eliot Kimber
Sr Staff Content Engineer
O: 512 554 9368
M: 512 554 9368