I too have to agree with Andreas. I have been using Numpy for years in my work, but am not versed in C so I don't even understand what numpy is doing under the hood. I too would only be able to contribute to the code at the python level, or as Andreas said, at improving SciPy packages and other Numpy-based projects.
One area that you may be able to get more help from the general user base is with publicity, tutorials and word-of-mouth. I had recently shown Numpy to a friend who was versed in matlab, and he was really impressed because Numpy is easily incorporated into more general Python scripts. I've worked a lot with the Enthought Tool Suite and shown off some of that to my colleagues. They are impressed at the streamlined code-to-visuals process although I don't think they even realize that Numpy is responsible for all the numerics in the program. To this end, I think outreach would be helpful in recruiting new programmers. Once they understand that Numpy does a lot at the C-level and that it is not strictly a Python feature, they may realize its something that they can contribute to. On Wed, Apr 25, 2012 at 5:04 PM, Alan G Isaac <alan.is...@gmail.com> wrote: > On 4/25/2012 4:51 PM, Andreas H. wrote: > > I would assume that most users see numpy > > as infrastructure, they write their own code on top of it. As a normal > > user of numpy, I wouldn't know where it would need improvement to suit > > my needs because it already does all I need. (Okay, masked arrays are > > something which could definitely improve, but that's another story.) > > > > This is different from other, higher-level FOSS projects, > > > Thank you Andreas. I was debating whether to explain exactly this, > to point out that I found Matthew's question inappropriately aggressive, > or both. Now I can do both in a flash. > > But I find I would also like to once again say thank you to the > developers, who have given us an amazing piece of software. > I would add that I am impressed by the deep respect they show > each other even when dealing with hard issues. > > Alan Isaac > Just another grateful user for many years. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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