Hi,
I am pleased to announce a new release of bento, a packaging solution
for python which aims at reproducibility, extensibility and simplicity.
The main features of this 0.1.0 release are:
- new commands register_pypi and upload_pypi to register a package
to
pypi and uplo
Hi,
I am pleased to announce a new release of bento, a packaging solution
for python which aims at reproducibility, extensibility and simplicity.
The main features of this 0.0.8.1 release are:
- Path sections can now use conditionals
- More reliable convert command to migrate
distuti
Hi,
I am pleased to announce a new release of bento, a packaging solution for
python which aims at reproducibility, extensibility and simplicity. It supports
every python version from 2.4 to 3.2. You can take a look at its main features
on Bento's main page (http://cournape.github.com/Bento).
Hi,
I am pleased to announce a new release of bento, a packaging
solution for
python which aims at reproducibility, extensibility and simplicity. You can
take a look at its main features on bento's main documentation page
(http://cournape.github.com/Bento). The main features of this 0.0.5
rele
Hi,
I am pleased to announce the release 0.0.4 for Bento, a pythonic
packaging solution for python softwares. Bento is an alternative to
distutils/setuptools/distutils2 geared toward simplicity and
hackability:
http://cournape.github.com/Bento/
Download: http://github.com/cournape/Bento/archives
Hi,
I am pleased to announce the release of numpy 1.4.0. The highlights of
this release are:
- Faster import time
- Extended array wrapping mechanism for ufuncs
- New Neighborhood iterator (C-level only)
- C99-like complex functions in npymath, and a lot of portability
fixes for basic floatin
Hi,
I am pleased to announce the release of numpy 1.3.0. You can find source
tarballs and binary installers for
both Mac OS X and Windows on the sourceforge page:
https://sourceforge.net/projects/numpy/
The release note for the 1.3.0 release are below. There are no changes compared
to the rele
