Re: [Numpy-discussion] debian benchmarks

2010-07-04 Thread Sebastian Haase
On Sun, Jul 4, 2010 at 4:32 AM, Sturla Molden stu...@molden.no wrote: I was just looking at Debian's benchmark. LuaJIT is now (on median) beating Intel Fortran! Consider that Lua is a dynamic language very similar to Python. I know it's just a benchmark but this has to count as insanely

[Numpy-discussion] [OT] Re: debian benchmarks

2010-07-04 Thread Pauli Virtanen
Sun, 04 Jul 2010 04:32:14 +0200, Sturla Molden wrote: I was just looking at Debian's benchmark. LuaJIT is now (on median) beating Intel Fortran! Consider that Lua is a dynamic language very similar to Python. I know it's just a benchmark but this has to count as insanely impressive. I guess

Re: [Numpy-discussion] debian benchmarks

2010-07-04 Thread Sturla Molden
Sebastian Haase skrev: Hi Sturla, what is this even about ... ? Do you have some references ? It does indeed sound interesting ... but what kind of code / problem are they actually testing here ? http://shootout.alioth.debian.org/u32/which-programming-languages-are-fastest.php They are

Re: [Numpy-discussion] debian benchmarks

2010-07-04 Thread Sturla Molden
Sturla Molden skrev: http://shootout.alioth.debian.org/u32/which-programming-languages-are-fastest.php They are benchmarking with tasks that burns the CPU, like computing and bitmapping Mandelbrot sets and processing DNA data. It is also the kind of tasks where NumPy would help. It would

Re: [Numpy-discussion] [OT] Re: debian benchmarks

2010-07-04 Thread Isaac Gouy
Pauli Virtanen pav at iki.fi writes: -snip- It's possible that in the cases where Lua wins, the Lua code is not completely equivalent to the Fortran code, or uses stuff such as strings for which Lua's default implementation may be efficient. Note - not Lua's default implementation but

[Numpy-discussion] ANN: scipy 0.8.0 release candidate 1

2010-07-04 Thread Ralf Gommers
I'm pleased to announce the availability of the first release candidate of SciPy 0.8.0. Please try it out and report any problems on the scipy-dev mailing list. SciPy is a package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration,