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blog post about numpy

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blog/draft/numpy-road-forward.rst

+
+Hello everyone.
+
+This is the roadmap for numpy effort in PyPy as discussed on the London sprint.
+First, the highest on our priority list is to finish the low-level part
+of the numpy module. What
+we'll do is to finish the RPython part of numpy and provide a pip installable
+numpypy repository that includes the pure python part of Numpy. This would
+contain the original Numpy with a few minor changes.
+
+Second, we need to work on the JIT support that will make NumPy on PyPy
+faster. In detail:
+
+* reenable the lazy loop evaluation
+
+* optimize bridges, which is depending on optimizer refactorings
+
+* SSE support
+
+On the compatibility front, there were some independent attempts into
+making the following stuff working:
+
+* f2py
+
+* C API (in fact, PyArray\_* API is partly present in the nightly builds of
+  PyPy)
+
+* matplotlib (both using PyArray\_* API and embedding CPython runtime in PyPy)
+
+* scipy
+
+In order to make all of the above happen faster, it would be helpful to raise
+more funds. You can donate to `PyPy's NumPy project`_ on our website. Note
+that PyPy is a member of SFC which is a 501(c)(3) US non-profit, so donations
+from US companies can be tax-deducted.
+
+Cheers,
+fijal, arigo, ronan, rguillebert, anto and others
+
+.. _`PyPy's NumPy project`: http://pypy.org/numpydonate.html