PyData 2017, held on the Microsoft campus in the summer of 2017 included a tutorial on improving performance with the library dask.
Due to the size of the html generated for this notebook and it crashing on render, it’s best viewed directly via dask_demo.html until I see if I can reduce file from 1.9 MB.
library(htmltools) # jupyter nbconvert --to html ~/repos/blog/notebooks/dask_demo.ipynb # includeHTML("../../notebooks/dask_demo.html")
- Notebook - https://github.com/aliciatb/blog/blob/master/notebooks/dask_demo.ipynb
- Data - available on request (1 gb)