Author: anatoly techtonik <techto...@gmail.com> Branch: extradoc Changeset: r555:2b866097e40d Date: 2014-11-19 15:32 +0300 http://bitbucket.org/pypy/pypy.org/changeset/2b866097e40d/
Log: numpydonate: Link to numpy blog feed and to buildbot dashboard diff --git a/numpydonate.html b/numpydonate.html --- a/numpydonate.html +++ b/numpydonate.html @@ -79,8 +79,9 @@ quickly as predicted. The ratio “progress / $ used” so far corresponds roughly to what we expected. The document below is the original call for proposal, and we still accept donations for this -topic. Latest status reports can be found on our blog like the ones from</em> -<a class="reference external" href="http://morepypy.blogspot.co.il/2014/04/numpy-on-pypy-status-update.html";>March</a> <em>or</em> <a class="reference external" href="http://morepypy.blogspot.co.il/2014/03/numpy-status-update-february.html";>February</a></blockquote> +topic. See the</em> <a class="reference external" href="http://morepypy.blogspot.com/search/label/numpy";>latest status reports</a> <em>on our blog for updates. +There is also an automatically generated</em> <a class="reference external" href="http://buildbot.pypy.org/numpy-status/latest.html";>coverage dashboard</a> <em>showing +what parts of NumPy are already usable.</em></blockquote> <p>This is a proposal to provide a fully compatible working <a class="reference external" href="http://numpy.scipy.org/";>NumPy</a> implementation for PyPy. This has long been a very commonly <a class="reference external" href="http://morepypy.blogspot.com/2011/06/report-back-from-our-survey.html";>requested feature</a> for PyPy as well as a worthy goal given that PyPy performs extremely well on numeric diff --git a/source/numpydonate.txt b/source/numpydonate.txt --- a/source/numpydonate.txt +++ b/source/numpydonate.txt @@ -13,8 +13,9 @@ quickly as predicted. The ratio "progress / $ used" so far corresponds roughly to what we expected. The document below is the original call for proposal, and we still accept donations for this - topic. Latest status reports can be found on our blog like the ones from* - `March`_ *or* `February`_ + topic. See the* `latest status reports`_ *on our blog for updates. + There is also an automatically generated* `coverage dashboard`_ *showing + what parts of NumPy are already usable.* This is a proposal to provide a fully compatible working `NumPy`_ implementation @@ -75,8 +76,8 @@ .. _`requested feature`: http://morepypy.blogspot.com/2011/06/report-back-from-our-survey.html .. _`NumPy implementation`: http://morepypy.blogspot.com/2011/05/numpy-in-pypy-status-and-roadmap.html .. _`performs well`: http://morepypy.blogspot.com/2011/07/realtime-image-processing-in-python.html -.. _`March`: http://morepypy.blogspot.co.il/2014/04/numpy-on-pypy-status-update.html -.. _`February`: http://morepypy.blogspot.co.il/2014/03/numpy-status-update-february.html +.. _`latest status reports`: http://morepypy.blogspot.com/search/label/numpy +.. _`coverage dashboard`: http://buildbot.pypy.org/numpy-status/latest.html Speed ----- _______________________________________________ pypy-commit mailing list pypy-commit@python.org https://mail.python.org/mailman/listinfo/pypy-commit
