> Do you agree that Numpy has not been very successful in recruiting and > maintaining new developers compared to its large user-base? > > Compared to - say - Sympy? > > Why do you think this is?
I don't know about SymPy. But in my view (and I'm just a typical user of NumPy), numpy seems to be at the base of what people actually need to do. I would assume most users of numpy actually use it because it's underlying piece of software, i.e. SciPy. It provides convenient, fast array structures to do maths. 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, which are closer to end user final requirements, where end users might be more compelled to contribute because it's closer to what they're actually doing. For example, I just wrote two enhancements to scipy.interpolate, which were / will be merged recently / soon. Plus, numpy is a lot of C code, and to me (again, as a user) it seems more complicated to contribute because things are not as isolated. Just my 2 ct. Andreas. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
