On 06/14/2010 09:47 PM, Hrvoje Niksic wrote:
> Thomas Jollans writes:
>
>> On 06/14/2010 01:18 PM, Hrvoje Niksic wrote:
>>> Thomas Jollans writes:
>>>
1. allocate a buffer of a certain size
2. fill it
3. return it as an array.
>>>
>>> The fastest and more robust approach (I'm awar
Thomas Jollans writes:
> On 06/14/2010 01:18 PM, Hrvoje Niksic wrote:
>> Thomas Jollans writes:
>>
>>> 1. allocate a buffer of a certain size
>>> 2. fill it
>>> 3. return it as an array.
>>
>> The fastest and more robust approach (I'm aware of) is to use the
>> array.array('typecode', [0]) * s
On 06/14/2010 01:18 PM, Hrvoje Niksic wrote:
> Thomas Jollans writes:
>
>> 1. allocate a buffer of a certain size
>> 2. fill it
>> 3. return it as an array.
>
> The fastest and more robust approach (I'm aware of) is to use the
> array.array('typecode', [0]) * size idiom to efficiently preallocat
Thomas Jollans writes:
> 1. allocate a buffer of a certain size
> 2. fill it
> 3. return it as an array.
The fastest and more robust approach (I'm aware of) is to use the
array.array('typecode', [0]) * size idiom to efficiently preallocate the
array, and then to get hold of the pointer pointing
On Sun, Jun 13, 2010 at 1:20 PM, Robert Kern wrote:
> On 2010-06-13 14:17 , Stefan Behnel wrote:
>>
>> Stephen Hansen, 13.06.2010 21:05:
>>>
>>> On 6/13/10 11:41 AM, Stefan Behnel wrote:
Take a look at a) NumPy and b) Cython. You can also use Cython with the
array module, but NumPy
On Jun 13, 6:15 pm, Thomas Jollans wrote:
> Hi,
>
> I'm writing some buffer-centric number-crunching routines in C for
> Python code that uses array.array objects for storing/manipulating data.
> I would like to:
>
> 1. allocate a buffer of a certain size
> 2. fill it
> 3. return it as an array.
>
On 2010-06-13 14:17 , Stefan Behnel wrote:
Stephen Hansen, 13.06.2010 21:05:
On 6/13/10 11:41 AM, Stefan Behnel wrote:
Take a look at a) NumPy and b) Cython. You can also use Cython with the
array module, but NumPy is a much more common way to deal with "number
crunching routines", especially m
Stephen Hansen, 13.06.2010 21:05:
On 6/13/10 11:41 AM, Stefan Behnel wrote:
Take a look at a) NumPy and b) Cython. You can also use Cython with the
array module, but NumPy is a much more common way to deal with "number
crunching routines", especially multi-dimentional arrays.
Does Cython suppo
On 6/13/10 11:41 AM, Stefan Behnel wrote:
> Take a look at a) NumPy and b) Cython. You can also use Cython with the
> array module, but NumPy is a much more common way to deal with "number
> crunching routines", especially multi-dimentional arrays.
Does Cython support Py3k yet? The OP seemed to be
Thomas Jollans, 13.06.2010 19:15:
I'm writing some buffer-centric number-crunching routines in C for
Python code that uses array.array objects for storing/manipulating data.
I would like to:
1. allocate a buffer of a certain size
2. fill it
3. return it as an array.
Take a look at a) NumPy and
On 6/13/10 10:15 AM, Thomas Jollans wrote:
> Hi,
>
> I'm writing some buffer-centric number-crunching routines in C for
> Python code that uses array.array objects for storing/manipulating data.
> I would like to:
Take this with a grain of salt: I am *not* a C programmer, and my usage
of the Pyt
Hi,
I'm writing some buffer-centric number-crunching routines in C for
Python code that uses array.array objects for storing/manipulating data.
I would like to:
1. allocate a buffer of a certain size
2. fill it
3. return it as an array.
I can't see any obvious way to do this with the array modul
12 matches
Mail list logo
