One big pull for python is the ecosystem. Almost any task has a python package available.
However, there are gaps. For all the strength of scipy + numpy, there are serious gaps. For instance in methods for sparse matrices, and CUDA bindings. It's those gaps that brought me here. Also, pip is not consistently used across packages (e.g. pyQT). This is due to it having evolved from a less well structured system. Julia seems to have learned a bunch of lessons from this; but generally making package management _really_ easy both on supply and consumption will be an advantage for it. Matthew On Tuesday, September 29, 2015 at 10:30:19 AM UTC+1, Sisyphuss wrote: > > While waiting Julia 0.4 stabilizing, let's do some brainstorming. > > What's the reason of the Success of Python? > If Julia had appeared 10 years earlier, will Python still have this > success? > > >
