Congrats to Travis and the rest of the Continuum analytics team on the Darpa XDATA funding!<p>As someone working to build tools in the same space as Continuum (and perhaps as a competitor), having your competitors (Continuum) be intelligent, nice, interesting folks who really understand the problem domain is pretty darn great.<p>Point being: the numerical computing / data analysis landscape is going to be seing a lot of great tools emerge and/or mature over the next year, and I have no doubt that 30-50% of them will be coming from Continuum Analytics. [edit: to the substantial enrichment of high level tools for extending numerical within python / and likely generally!]<p>I can only hope that I execute my tool building work at WellPosed well enough that I can call them a competitor for years to come!
As someone who has dabbled in using Python for numerical computing in several small projects, I wonder: what would be the motivation for further investment in Python as a numerical platform, considering all Python's problems with concurrency.<p>Real threads will never come to Python. MPI is a real pain unless you are running very large computations. This will only become more true as time progresses. Am I missing something?