Is IPython useful for your research/industry work? Feedback wanted for grant proposal.
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Hi folks, sorry for the cross-post, but I expect all replies to this to happen off-list. I'm in the process of writing an NSF grant that will partly include IPython support, and along with Brian we will soon be doing more of the same. In the past we haven't had the best of luck with the NFS, hopefully this time it will be better. I think one mistake we've made has been to have very little in the way of hard evidence of the value (if any) that IPython provides to the scientific work of others and to industry. So I would greatly appreciate if you can contact me off-list (best at Fernando.Perez@berkeley.edu) with any info that I could use in a typical NSF grant application. I'm not looking for marketing-type testimonials nor letters of support (the NSF frowns on those), but rather specific info, best if backed by journal citations, on how and where IPython plays an important role in your research or industry project (while the NSF is a science funding agency, it also has as part of its mission the economic well-being of the US). I'd also like to clarify that I'm not looking for quotes strictly of personal use as an interactive shell, since I know in this community most people do that. What I'm after are things like: - a research project that builds on IPython in some capacity - important results obtained with the IPython parallel machinery that were better/easier/whatever than a classical approach with other tools - uses of the notebook in education - anything else along these lines you can think of, that goes beyond pure personal shell use. Thanks! Again, in the interest of keeping list noise down, please reply directly to me: Fernando.Perez@berkeley.edu. f
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Fernando Perez