On 16 Nov, 05:51, sturlamolden <sturlamol...@yahoo.no> wrote: > > NASA can find money to build a space telescope and put it in orbit. > They don't find money to create a faster Python, which they use for > analyzing the data.
Is the analysis in Python really what slows it all down? > Google is a multi-billion dollar business. They are using Python > extensively. Yes I know about Unladen Swallow, but why can't they put > 1 mill dollar into making a fast Python? Isn't this where we need those Ohloh figures on how much Unladen Swallow is worth? ;-) I think Google is one of those organisations where that Steve Jobs mentality of shaving time off a once-per-day activity actually pays off. A few more cycles here and there is arguably nothing to us, but it's a few kW when running on thousands of Google nodes. > And then there is IBM and Cern's Blue Brain project. They can set up > the fastest supercomputer known to man, but finance a faster Python? > No... Businesses and organisations generally don't spend any more money than they need to. And if choosing another technology is cheaper for future work then they'll just do that instead. In a sense, Python's extensibility using C, C++ and Fortran have helped adoption of the language considerably, but it hasn't necessarily encouraged a focus on performance. Paul -- http://mail.python.org/mailman/listinfo/python-list
