Brian Granger and Fernando Perez of the IPython Project
Jun 13, 2015•1 hr 22 min
Episode description
You can find past episodes and other information about the show at podcastinit.com
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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- 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?
- 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?
- 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?
- 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
- notebooks.codeneuro.org– time series data analysis <- Couldn’t get this to work. -Chris
- Gallery of interesting notebooks on the wiki
- 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
- One of the biggest targeted features is real-time collaboration
- 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
- Be patient while documentation improves
- Tobias
- Chris
- Brian Granger
- Fernando Perez
- Twitter @projectjupyter, @ipythondev, @ellisonbg, @fperez_org
The intro and outro music is from Requiem for a Fish The Freak Fandango
Orchestra
/ CC BY-SA