[Numpy-discussion] Announcing tinyarray

Hello, Almost two years ago a discussion on this list took place under the subject "speeding up operations on small vectors". The issue was the rather high constant time and space overhead of small NumPy arrays. I'm aware that in general one should combine small arrays into large ones, but there

Re: [Numpy-discussion] ANN: matplotlib 1.3.0 released

In article <51faa3ab.6020...@stsci.edu>, Michael Droettboom wrote: > On behalf of a veritable army of super coders, I'm pleased to announce > the release of matplotlib 1.3.0. > > > Downloads > > Downloads are available here: > > http://matplotlib.org/

[Numpy-discussion] ANN: matplotlib 1.3.0 released

On behalf of a veritable army of super coders, I'm pleased to announce the release of matplotlib 1.3.0. Downloads Downloads are available here: http://matplotlib.org/downloads.html as well as through |pip|. Check with your distro for when matplotlib 1.

[Numpy-discussion] Fwd: Python Session at AGU 2013

For anyone attending the AGU (American Geophysical Union) fall meeting this year, there will be a session on python and "big data" in the earth sciences. Abstract submission is still open until Aug. 6th. See below for more info. Cheers, -Joe -- Forwarded message -- From: IRIS Webm

[Numpy-discussion] Now benchmarking multiple branches (master + maintenance/1.[67].x)

I am glad to announce that now you can see benchmark timing plots for multiple branches, thus being able to spot regressions in maintenance branches and compare enhancements in relation to previous releases. e.g. * improving upon 1.7.x but still lacking behind 1.6.x http://www.onerussian.com/tmp