experiments that are documented below.
The general idea that seems to be worth pursuing would be to implement NumPy in
-RPython (the implementation language of PyPy) and then leverage JIT to achieve
+RPython (the implementation language of PyPy) and then leverage JIT to achieve
extra speedups. The really cool thing about this part is that overall JIT
improvements will benefit NumPy performance out of the box, without extra
tweaking. As of now there is branch called `numpy-exp`_ which contains a