Much obliged everyone. I've noted all these points in my post about my
high performance talk with updates linking back to these threads:
http://ianozsvald.com/2014/02/23/high-performance-python-at-pydatalondon-2014/
Re. Ronan - I'll use jitviewer, I just haven't had time. I hope to
cover it in the
FYI it's fixed
On Sat, Feb 22, 2014 at 8:48 PM, Maciej Fijalkowski wrote:
> On Sat, Feb 22, 2014 at 7:45 PM, Ronan Lamy wrote:
>> Hello Ian,
>>
>> Le 20/02/14 20:40, Ian Ozsvald a écrit :
>>
>>> Hi Armin. The point of the question was not to remove numpy but to
>>> understand the behaviour :-) I
On Sat, Feb 22, 2014 at 7:45 PM, Ronan Lamy wrote:
> Hello Ian,
>
> Le 20/02/14 20:40, Ian Ozsvald a écrit :
>
>> Hi Armin. The point of the question was not to remove numpy but to
>> understand the behaviour :-) I've already done a set of benchmarks
>> with lists and with numpy, I've copied the r
Hello Ian,
Le 20/02/14 20:40, Ian Ozsvald a écrit :
Hi Armin. The point of the question was not to remove numpy but to
understand the behaviour :-) I've already done a set of benchmarks
with lists and with numpy, I've copied the results below. I'm using
the same Julia code throughout (there's a
Hi Ian,
On 20 February 2014 21:40, Ian Ozsvald wrote:
> compiler technologies. The simple answer might be 'because pypynumpy
> is young' and that'd be fine - at least I'd have an answer if someone
> asks the question in my talk. If someone has more details, that'd be
> really interesting too. Is
Hi Armin. The point of the question was not to remove numpy but to
understand the behaviour :-) I've already done a set of benchmarks
with lists and with numpy, I've copied the results below. I'm using
the same Julia code throughout (there's a note about the code below).
PyPy on lists is indeed ver
Hi Ian,
On 20 February 2014 12:53, Ian Ozsvald wrote:
> def calculate_z(maxiter, zs, cs, output):
> """Calculate output list using Julia update rule"""
This particular example uses numpy is a very strange and useless way,
as I'm sure you know. It builds a regular list of 1'000'000 items;
th
Hello all. I'm talking at PyData London this Saturday on the 'high
performance landscape', pypy and pypy/numpy get discussed. PyPy and
lists works great on my Julia example, the pypy/numpy version is very
poor with respect to other solutions (cython, pythran, numba).
Can you help me understand wha
