re: no reason why...
This has nothing to do with Python2/Python3 (I personally stopped using
Python2 at least 3 years ago.) Let me put it this way instead: if
Python3's "range" (or Python2's "xrange") was not a builtin type but a type
provided by numpy, I don't think it would be controversial at a
On Sat, Feb 13, 2016 at 10:38 PM, wrote:
>
>
> On Sat, Feb 13, 2016 at 10:03 AM, Ralf Gommers
> wrote:
>
>> Hi all,
>>
>> I'm pleased to announce the release of numpydoc 0.6.0. The main new
>> feature is support for the Yields section in numpy-style docstrings. This
>> is described in
>> https:/
On Sun, Feb 14, 2016 at 3:21 AM, Antony Lee wrote:
> re: no reason why...
> This has nothing to do with Python2/Python3 (I personally stopped using
> Python2 at least 3 years ago.) Let me put it this way instead: if
> Python3's "range" (or Python2's "xrange") was not a builtin type but a type
>
On Sun, Feb 14, 2016 at 9:21 AM, Antony Lee wrote:
> re: no reason why...
> This has nothing to do with Python2/Python3 (I personally stopped using
> Python2 at least 3 years ago.) Let me put it this way instead: if
> Python3's "range" (or Python2's "xrange") was not a builtin type but a type
>
2016-02-13 17:42 GMT+01:00 Charles R Harris :
> The Fortran modulo function, which is the same basic function as in my
>> branch, does not specify any bounds on the result for floating numbers, but
>> gives only the formula, modulus(a, b) = a - b*floor(a/b), which has the
>> advantage of being si
On Sun, Feb 14, 2016 at 12:35 PM, Nils Becker
wrote:
> 2016-02-13 17:42 GMT+01:00 Charles R Harris :
>
>> The Fortran modulo function, which is the same basic function as in my
>>> branch, does not specify any bounds on the result for floating numbers, but
>>> gives only the formula, modulus(a,
On Sun, Feb 14, 2016 at 12:54 PM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> On Sun, Feb 14, 2016 at 12:35 PM, Nils Becker
> wrote:
>
>> 2016-02-13 17:42 GMT+01:00 Charles R Harris :
>>
>>> The Fortran modulo function, which is the same basic function as in my
branch, does no
I was thinking (1) (special-case range()); however (2) may be more
generally applicable and useful.
Antony
2016-02-14 6:36 GMT-08:00 Ralf Gommers :
>
>
> On Sun, Feb 14, 2016 at 9:21 AM, Antony Lee
> wrote:
>
>> re: no reason why...
>> This has nothing to do with Python2/Python3 (I personally s
On Sun, Feb 14, 2016 at 1:11 PM, Charles R Harris wrote:
>
>
> On Sun, Feb 14, 2016 at 12:54 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Sun, Feb 14, 2016 at 12:35 PM, Nils Becker
>> wrote:
>>
>>> 2016-02-13 17:42 GMT+01:00 Charles R Harris :
>>>
The Fortran mod
On Sun, Feb 14, 2016 at 7:36 AM, Ralf Gommers
wrote:
>
>
> On Sun, Feb 14, 2016 at 9:21 AM, Antony Lee
> wrote:
>
>> re: no reason why...
>> This has nothing to do with Python2/Python3 (I personally stopped using
>> Python2 at least 3 years ago.) Let me put it this way instead: if
>> Python3's
Hello everyone,
I've done some work on making a new version of Numexpr that would fix some
of the limitations of the original virtual machine with regards to data
types and operation/function count. Basically I re-wrote the Python and C
sides to use 4-byte words, instead of null-terminated strings
On Sun, Feb 14, 2016 at 10:36 PM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> On Sun, Feb 14, 2016 at 7:36 AM, Ralf Gommers
> wrote:
>
>>
>>
>> On Sun, Feb 14, 2016 at 9:21 AM, Antony Lee
>> wrote:
>>
>>> re: no reason why...
>>> This has nothing to do with Python2/Python3 (I pers
On Sun, Feb 14, 2016 at 11:19 PM, Robert McLeod
wrote:
>
> 4.) I took a stab at converting from distutils to setuputils but this
> seems challenging with numpy as a dependency. I wonder if anyone has tried
> monkey-patching so that setup.py build_ext uses distutils and then pass the
> interpreter
I wonder whether numpy is using the "old" iteration protocol (repeatedly
calling x[i] for increasing i until StopIteration is reached?) A quick
timing shows that it is indeed slower.
... actually it's not even clear to me what qualifies as a sequence for
`np.array`:
class C:
def __iter__(self
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