[EMAIL PROTECTED] wrote:
> Robert Kern wrote:
>>[EMAIL PROTECTED] wrote:
[...]
The full C-API of Numeric is supported as is the C-API
of Numarray.
More information is available at http://numpy.scipy.org
>>>
>>>Like the statement
>>>
>>>"There is a module called convertcode.py in N
Bruce Who wrote:
> Hi, Travis
>
> I can pack my scripts into an executable with py2exe, but errors occur
> once it runs:
I suspect you need to force-include the numpy/core/_internal.py file by
specifying it in your setup.py file as explained on the py2exe site.
That module is only imported by t
Robert Kern wrote:
> [EMAIL PROTECTED] wrote:
> > Travis E. Oliphant wrote:
> >> The 4th beta release of NumPy 1.0 has just been made available.
> >>
> >> NumPy 1.0 represents the culmination of over 18 months of work to unify
> >> the Numeric and Numarray array packages into a single best-of-breed
[EMAIL PROTECTED] wrote:
> Travis E. Oliphant wrote:
>> The 4th beta release of NumPy 1.0 has just been made available.
>>
>> NumPy 1.0 represents the culmination of over 18 months of work to unify
>> the Numeric and Numarray array packages into a single best-of-breed
>> array package for Python.
>
Travis E. Oliphant wrote:
> The 4th beta release of NumPy 1.0 has just been made available.
>
> NumPy 1.0 represents the culmination of over 18 months of work to unify
> the Numeric and Numarray array packages into a single best-of-breed
> array package for Python.
>
> NumPy supports all the featu
Hi, Travis
I can pack my scripts into an executable with py2exe, but errors occur
once it runs:
No scipy-style subpackage 'random' found in D:\test\dist\numpy.
Ignoring: No module named info
import core -> failed: No module named _internal
import lib -> failed: 'module' object has no attribute '_
t
> 发送日期：2006-08-26 17:45:03
> 主题：[ANN] NumPy 1.0b4 now available
>The 4th beta release of NumPy 1.0 has just been made available.
>
>NumPy 1.0 represents the culmination of over 18 months of work to unify
>the Numeric and Numarray array packages into a single best-of-breed
The 4th beta release of NumPy 1.0 has just been made available.
NumPy 1.0 represents the culmination of over 18 months of work to unify
the Numeric and Numarray array packages into a single best-of-breed
array package for Python.
NumPy supports all the features of Numeric and Numarray with a he
