Jupyter Notebooks Everywhere

2017-11-08 00:00:00 AI Machine Learning Python

It would appear that many of the cloud providers are now leveraging Jupyter Notebooks. I predominately use them with Python (3.6+) and Julia but many more kernels are available.

I was kind of shocked that Google allows only Python 2.7 to be used with their Google Drive but Azure supports Python 3+. Nice!

@randal_olson free Jupyter in the cloud with Python 3.6. pip install, @github import and badges. https://t.co/3GEWgDtUwk / pic.twitter.com/DXbDiBCWJZ
— Azure for Research (@Azure4Research) November 8, 2017

The Data Science notebook space is definitely winning IMHO. They’re easier to read for new team mates (with proper annotation of course), easier to export to markdown, provide for a good data lineage, and easier to put into production with other 3rd party software like Anaconda.

DO they encapsulate code into a GUI widget/operator like RapidMiner? No, they do not BUT the provide for the ‘openness’ of inspecting your code and ease collaboration make them very appealing.