My top priority: * support for sliced arrays as input to functions On Wed, Oct 22, 2014 at 9:27 AM, serge Guelton < serge.guelton@xxxxxxxxxxxxxxxx> wrote: > =========== > Pythran 0.6 > =========== > > The Pythran team is glad to announce Pythran 0.6. It contains many > performance improvements, better Numpy support and the usual code > cleaning and bug fixes. > > You can download the release from the cheese shop: > > https://pypi.python.org/pypi/pythran > > From my custom Debian repo: > > http://serge.liyun.free.fr/serge/debian.html > > Or keep playing with the git repo: > > https://github.com/serge-sans-paille/pythran > > Bug reports are welcome, on github, #pythran on FreeNode or > pythran@xxxxxxxxxxxxx! > > From the Changelog > ================== > > * Full SIMD support! Almost all numpy expressions are vectorized > > * Better memory management at the Python/C++ layer, esp. when sharing > > * Support named parameters > > * Better complex numbers support > > * A lot of internal code cleaning > > * Better code generation for regular loops > > * MacOS install guide & ArchLinux packages > > * Travis run the test suite, w and w/ SIMD, w and w/ OpenMP > > * Many performance improvements at the numpy expression level > > * Faster array copies, including slices > > * Much better constant folding > > * Distutils support through a PythranExtension > > * Improve implementation of many numpy functions > > * Improve forward substitution > > * Use most recent nt2 version > > * Make dependency on libgomp optional > > What's next? > ============ > > * better numpy support > > * better/faster OpenMP support > > * code cleaning and refactoring. Always. > > > -- *Those who don't understand recursion are doomed to repeat it*