Am 25.02.2014 um 12:08 schrieb Daniele Nicolodi dani...@grinta.net:
Hello,
I'm dealing with an instrument that transfers numerical values through
an RS232 port in a custom (?) floating point representation (56 bits, 4
bits exponent and 52 bits significand).
Of course I need to convert
On 26 February 2014 00:35, Daniele Nicolodi dani...@grinta.net wrote:
simpler in my original email has to be read as involving less
operations and thus more efficient, not simpler to understand, indeed it
is already a simple implementation of the definition. What I would like
to know is if
JB,
This behavior is a property of python slicing. It takes some getting used
to, but has its advantages. In general in a slice [i:j] the indices go
from i to j-1. In the case that i is 0 it's easy to think of it as j
giving the number of elements (by the way you can also do a[:j] -- i.e.
Hi,
I have a PR that fix way too much printing to stdout when finding the
blas linking information:
https://github.com/numpy/numpy/pull/4081
This was created by change in NumPy. I was requested as a comment to
put the removed information in the dict that we return to the user. I
won't have the
JB jonathan.j.b...@gmail.com wrote:
x = np.array([1,2,3,4,5,6,7,8,9,10])
If I want the first 5 elements, what do I do?
x[:5]
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Thanks for posting those wheels Matthew.
I'm on a Mac (10.9.2) and I had trouble installing numpy from your wheel in
a fresh virtualenv with the latests pip, setuptools, and wheel.
```
$pip install
~/Downloads/numpy-1.8.0.dev_a89a36e-cp27-none-macosx_10_9_intel.whl
On Wed, Feb 26, 2014 at 5:32 AM, Slavin, Jonathan
jsla...@cfa.harvard.eduwrote:
This behavior is a property of python slicing. It takes some getting used
to, but has its advantages.
quite a few, actually!
They key with slicing is to think of the index as pointing to the space
between the
On Wed, Feb 26, 2014 at 8:27 AM, Tom Augspurger
tom.augspurge...@gmail.comwrote:
Thanks for posting those wheels Matthew.
I'm on a Mac (10.9.2) and I had trouble installing numpy from your wheel in
a fresh virtualenv with the latests pip, setuptools, and wheel.
```
$pip install
Hi,
Arnaud finished that in a different way then we had discussed in the PR.
https://github.com/numpy/numpy/pull/4081
Fred
On Wed, Feb 26, 2014 at 10:07 AM, Frédéric Bastien no...@nouiz.org wrote:
Hi,
I have a PR that fix way too much printing to stdout when finding the
blas linking
Hi,
On Wed, Feb 26, 2014 at 11:02 AM, Chris Barker chris.bar...@noaa.gov wrote:
On Wed, Feb 26, 2014 at 8:27 AM, Tom Augspurger tom.augspurge...@gmail.com
wrote:
Thanks for posting those wheels Matthew.
I'm on a Mac (10.9.2) and I had trouble installing numpy from your wheel
in
a fresh
On Wed, Feb 26, 2014 at 11:34 AM, Matthew Brett matthew.br...@gmail.comwrote:
- convention is the other option:
- use binary wheel for in-house deplyment to similar systems
- use binary wheels for a well-defined python build:
- for PyPi, that's the python.org builds for
Hi,
On Wed, Feb 26, 2014 at 2:33 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Wed, Feb 26, 2014 at 11:34 AM, Matthew Brett matthew.br...@gmail.com
wrote:
- convention is the other option:
- use binary wheel for in-house deplyment to similar systems
- use binary wheels for
Thanks Chris,
Chris Barker - NOAA Federal wrote
What python are you using? apparently not a Universal 32+64 bit build. The
one Apple delivers?
I'm using homebrew python, so the platform difference seems to have come
from there. I agree about renaming the file as not being a real solution.
I'd
Hi,
On Wed, Feb 26, 2014 at 3:10 PM, Tom Augspurger
tom.augspurge...@gmail.com wrote:
Thanks Chris,
Chris Barker - NOAA Federal wrote
What python are you using? apparently not a Universal 32+64 bit build. The
one Apple delivers?
I'm using homebrew python, so the platform difference seems
Hello All,
I am *extremely *pleased to be able to announce the version 0.4 release of
xdress. This version contains much anticipated full support for Clang as a
parser! This is almost entirely due to the efforts of Geoffrey Irving.
Please thank him the next time you get a chance :)
This
Thanks for the heads up, I wasn't aware of this project. While boost.python
is a very nice package, its distributability is nothing short of
nonexistent, so its great to have a pure python binding generator.
One thing which I have often found frustrating is natural ndarray interop
between python
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