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Brief Introduction
Date of recording – June 3rd, 2015
Hosts – Tobias Macey and Chris Patti
Overview – Interview with Fernando Perez and Brian Granger, core developers of IPython/Project Jupyter
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Interview with Brian Granger and Fernando Perez
Introductions
How did you get introduced to Python? – Chris
For anyone who may not have heard of or used IPython, can you describe what it is?
How challenging was it to port IPython to Python 3?
Thomas Kluyver
What prompted the name change from IPython to Project Jupyter and were there any associated changes in the project itself?
Name inspired by Julia, Python and R – the three programming languages of data science
Data scientists have adopted the use of IPython notebooks in their work on a large scale, what is it about notebooks that lend themselves to this particular problem domain?
Bayesian methods for Hackers – Cameron Davidson-Pilon
Signal processing in Python
O’Reilly added support for notebooks into Atlas publishing platform
IPython Notebook seems like an incredible tool for educators is advanced fields. Have you seen wide spread adoption in this area and is it a focus for the project?
NBGrader – notebook grader
Github recently added the ability to render notebooks in a repo. Did you work with them to build that integration?
What are some of the most interesting uses of IPython notebooks that you have seen?
Gallery of interesting notebooks on the wiki
Reproducible academic publications
Couple of dozen scientific papers, some very high profile
Educational notebooks on various subjects
Great learning resource, as well as entertaining
MOOC taught between distributed team on Open EdX using IPython notebooks about numerical computing with Python
Peter Norvig collection of IPython notebooks
Includes analysis of traveling salesman problem
notebooks.codeneuro.org– time series data analysis <- Couldn’t get this to work. -Chris
Are there any notable projects that use IPython as one of their components?
KBase for computational biology
Sage – Open source mathematics project written in Python
Created by number theorist William Stein
Custom parser to allow for non-python syntax
Quantopian – Collaborative platform for financial modeling. Runs on top of IPython
Wakari from Continuum Analytics – hosted IPython with computing environment
Rackspace hosts TempNB and other IPython services
Where do you see Project Jupyter going in the future? Are there any particular new features you’d like to see added? – Tobias
One of the biggest targeted features is real-time collaboration
Prototyped by engineers from Google
More modular UI and architecture
Multi-user deployments with Jupyter Hub
A few weeks ago we interviewed Jonathan Slenders who wrote ptpython, which brings IDE like capabilities to interactive Python. Have you ever considered including this in IPython?
What are some of the features that an average user might not know about?
Is there anything in particular that you would like to ask our listeners for help with?
Pitch in with the development effort
Organize community events on behalf of IPython/Jupyter