Just wanted to say a big thanks to everyone in the NumPy community who has
commented on this topic - it's given us a lot to think about and a lot of
good ideas to work into the design!
Best regards,
Mike.
On 4 January 2013 14:29, Mike Anderson wrote:
> Hello all,
>
>
On 10 January 2013 05:19, Chris Barker - NOAA Federal wrote:
> On Wed, Jan 9, 2013 at 2:57 AM, Mike Anderson
>
> > I'm hoping the API will be independent of storage format - i.e. the
> > underlying implementations can store the data any way they like. So the
> API
>
On 9 January 2013 23:09, Alan G Isaac wrote:
> On 1/9/2013 9:58 AM, Nathaniel Smith wrote:
> > I don't think most happy current numpy users are wishing they
> > could switch to writing Lisp on the JVM or vice-versa, so I don't
> > think it's surprising that no-one's jumped up to do this work.
>
>
On 4 January 2013 16:13, Dag Sverre Seljebotn wrote:
> On 01/04/2013 09:00 AM, Dag Sverre Seljebotn wrote:
> > On 01/04/2013 07:29 AM, Mike Anderson wrote:
>
>
> Oh: Depending on your amibitions, it's worth thinking hard about i)
> storage format, and ii) lazy evaluatio
On 4 January 2013 16:00, Dag Sverre Seljebotn wrote:
> On 01/04/2013 07:29 AM, Mike Anderson wrote:
> > Hello all,
> >
> > In the Clojure community there has been some discussion about creating a
> > common matrix maths library / API. Currently there are a few diff
On 8 January 2013 02:08, Chris Barker - NOAA Federal
wrote:
> On Thu, Jan 3, 2013 at 10:29 PM, Mike Anderson
> wrote:
> > In the Clojure community there has been some discussion about creating a
> > common matrix maths library / API. Currently there are a few different
>
Hello all,
In the Clojure community there has been some discussion about creating a
common matrix maths library / API. Currently there are a few different
fledgeling matrix libraries in Clojure, so it seemed like a worthwhile
effort to unify them and have a common base on which to build on.
NumPy
