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Project Jupyter and IPython

Episode #44, published Tue, Feb 2, 2016, recorded Tue, Jan 26, 2016.

This episode is carbon neutral.
One of the fastest growing areas in Python is scientific computing. In scientific computing with Python, there are a few key packages that make it special. These include NumPy / SciPy / and related packages. The one that brings it all together, visually, is IPython (now known as Project Jupyter). That's the topic on episode 44 of Talk Python To Me.

You'll learn about "the big split", the plans for the recent $6 million in funding, Jupyter at CERN and the LHC and more with Min RK & Matthias Bussonnier.

Links from the show:

Project Jupyter: jupyter.org
Min RK: @minrk
Matthias Bussonnier: @mbussonn
Complexity graph:
Jess Hamrick deployment:
My Binder: mybinder.org
Try Jupyter: try.jupyter.org
Lorena Barba's AeroPython course: github.com/barbagroup/AeroPython
Jessica Hamrick's Ansible scripts: github.com/compmodels/jupyterhub-deploy
Jake Vanderplas blogging with notebooks: jakevdp.github.io
Peter Norvig's regex golf notebook:
SageMathCloud: cloud.sagemath.com
First version of IPython: gist.github.com/fperez/1579699
Historical perspective:

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Min and Matthias
Min and Matthias
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