Скачать или смотреть Brian Granger and Fernando Perez of the IPython Project

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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 (https://twitter.com/takluyver?utm_sou...)










• 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 (http://camdavidsonpilon.github.io/Pro...)


• Signal processing in Python (http://www.springer.com/us/book/97833...)


• O’Reilly added support for notebooks into Atlas publishing platform (https://beta.oreilly.com/ideas/jupyte...)










• 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 (https://github.com/jupyter/nbgrader?u...)










• Github recently added the ability to render notebooks in a repo (http://blog.jupyter.org/2015/05/07/re...) . 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 (https://github.com/ipython/ipython/wi...)



• Reproducible academic publications (https://github.com/ipython/ipython/wi...)


• 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 (https://github.com/numerical-mooc/num...)



• Peter Norvig collection of IPython notebooks







• Includes analysis of traveling salesman problem (http://nbviewer.ipython.org/url/norvi...)










• notebooks.codeneuro.org (http://notebooks.codeneuro.org/?utm_s...) – 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 (https://bcrc.bio.umass.edu/courses/sp....