You didn't say what sort of work you are looking for. Here are some
ideas that I've had on my TODO (at some point) list:
-contribute to micronumpy
-astype
-scalar types like numpy.int8
-a ufunc that isn't implemented yet
-speed up json module by adapting simplejson's pypy-support bran
There are a few things to be done before we start on a
multi-dimensional array. First, we need to do some refactoring to get
all of the 1D parts out of BaseArray and into the SingleDimArray
class. Also, we need to decide if we want to keep single dimensional
arrays as a specialized case or just use
On Mon, Sep 5, 2011 at 12:54 AM, Maciej Fijalkowski wrote:
> On Wed, Aug 31, 2011 at 8:18 AM, justinpeel wrote:
>> Author: Justin Peel
>> Branch:
>> Changeset: r46937:b4d8eb5fdf6c
>> Date: 2011-08-31 00:17 -0600
>> http://bitbucket.org/pypy/pypy/changeset/b4
to its release notes. I don't know
> anything beyond that.
>
> -Aaron DeVore
>
> On Thu, Aug 18, 2011 at 3:31 PM, Justin Peel wrote:
>> Yes, Vincent's way is the better way to go. To elaborate more on the
>> problem, string appending is O(N^2) while appending to a li
Yes, Vincent's way is the better way to go. To elaborate more on the
problem, string appending is O(N^2) while appending to a list and then
joining is an O(N) operation. Why CPython is faster than Pypy at doing
the less efficient way is something that I'm not fully sure about, but
I believe that it
