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 :-)