Author: Maciej Fijalkowski <[email protected]>
Branch: extradoc
Changeset: r4899:99911d25c8ed
Date: 2012-11-01 13:12 +0200
http://bitbucket.org/pypy/extradoc/changeset/99911d25c8ed/

Log:    write numpy report

diff --git a/blog/draft/numpy-status-update-5.rst 
b/blog/draft/numpy-status-update-5.rst
new file mode 100644
--- /dev/null
+++ b/blog/draft/numpy-status-update-5.rst
@@ -0,0 +1,39 @@
+NumPy status update #5
+----------------------
+
+Hello.
+
+I'm quite excited to inform that work on NumPy in PyPy has been restarted
+and there has been quite a bit of progress on the NumPy front in PyPy in the
+past two months. Things that happened:
+
+* **complex dtype support** - thanks to matti picus, NumPy on PyPy now supports
+  complex dtype (only complex128 so far, there is work on the other part)
+
+* **big refactoring** - probably the biggest issue we did was finishing
+  a big refactoring that disabled some speedups (notably lazy computation
+  of arrays), but lowered the barrier of implementing cool new features.
+
+* **fancy indexing support** - all fancy indexing tricks should now work,
+  including ``a[b]`` where ``b`` is an array of integers.
+
+* **newaxis support** - now you can use newaxis features
+
+* **improvements to ``intp``, ``uintp``, ``void``, ``string`` and record 
dtypes**
+
+Features that have active branches, but hasn't been merged:
+
+* **float16 dtype support**
+
+* **missing ndarray attributes** - this is a branch to finish all attributes
+  on ndarray, hence ending one chapter.
+
+* **pickling support for numarray** - hasn't started yet, but next on the list
+
+More importantly, we're getting very close to able to import the python part
+of the original numpy with only import modifications and running it's tests.
+Most tests will fail at this point, however it'll be a good start for another
+chapter :-)
+
+Cheers,
+fijal
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