On Sat, Oct 3, 2009 at 7:12 PM, Charles R Harris
wrote:
> Attached is the first rc of the chebyshev module. The module documentation
> is not yet complete and no doubt the rest of the documentation needs to be
> reviewed. The tests cover basic functionality at this point but need to be
> extended
Gökhan Sever wrote:
> Thanks for working on this. This append() method is a very handy for me,
> when working with lists. It is exiting to hear that it will be ported to
> ndarrays as well.
not exactly ported -- this will be a special, limited-use class.
> Any plans for insert() ?
I wouldn't
On Sat, Oct 3, 2009 at 2:26 AM, Christopher Barker wrote:
> Hasi all,
>
> This idea was inspired by a discussion at SciPY, in which we spent a
> LOT of time during the numpy tutorial talking about how to accumulate
> values in an array when you don't know how big the array needs to be
> when you
Christopher Barker wrote:
> OK -- this one I'm intending to send!
>
> Hi all,
>
> This idea was inspired by a discussion at the SciPy conference, in which
> we spent a LOT of time during the numpy tutorial talking about how to
> accumulate values in an array when you don't know how big the array
Robert Kern wrote:
> On Wed, Sep 30, 2009 at 09:34, Dag Sverre Seljebotn
> wrote:
>> I looked and looked in the docs, but couldn't find an answer to this:
>> When writing a ufunc, is it possible somehow to raise a Python exception
>> (by acquiring the GIL first to raise it, set a flag and a callba
OK -- this one I'm intending to send!
Hi all,
This idea was inspired by a discussion at the SciPy conference, in which
we spent a LOT of time during the numpy tutorial talking about how to
accumulate values in an array when you don't know how big the array
needs to be when you start.
The "stand
(I clicked send too early the last time -- sorry about that!)
Hi all,
This idea was inspired by a discussion at the SciPy conference, in which
we spent a LOT of time during the numpy tutorial talking about how to
accumulate values in an array when you don't know how big the array
needs to be wh
On Sat, Oct 3, 2009 at 02:26, Christopher Barker wrote:
> The implementation I have now uses a regular numpy array as the
> "buffer". The buffer is re-sized as needed with ndarray.resize(). I've
> enclosed the class, a bunch of tests (This is the first time I've ever
> really done test-driven deve
Hasi all,
This idea was inspired by a discussion at SciPY, in which we spent a
LOT of time during the numpy tutorial talking about how to accumulate
values in an array when you don't know how big the array needs to be
when you start.
The "standard practice" is to accumulate in a python list,
