On Mon, Feb 9, 2015 at 4:02 PM, cjw wrote:
> to overhaul the matrix class
> to make it more attractive for numerical linear algebra(?)
>
> +1
>
Sure -- though I don't know that this actually has anyting to do with
braodcasting -- unless the idea is that Matrices would be broadcastable?
But any
On 09-Feb-15 2:34 AM, Stefan Reiterer
wrote:
Ok that are indeed some good reasons to keep the status quo, especially since
performance is crucial for numpy.
It's a dillemma: Using the matrix class for linear algebra would be the correct
way for such thing,
bu
Basically you need:
(1) site.cfg or %HOME%\.numpy-site.cfg with the following content: (change
the paths according to your installation)
[openblas]
libraries = openblas
library_dirs = D:/devel/packages/openblas/amd64/lib
include_dirs = D:/devel/packages/openblas/amd64/include
OpenBLAS was build
Two quick comments:
- You need MSYS or Cygwin to build OpenBLAS. MSYS has uname and perl. Carl
probably used MSYS.
- BLAS and LAPACK are Fortran libs, hence there are no header files. NumPy
and SciPy include their own cblas headers.
Sturla
Olivier Grisel wrote:
> Hi Carl,
>
> Could you please
Yeah, well, you know Wes... in for a penny, in for a pound (or something
like that). Significant portions of pandas already needs Cython, so might
as well get as much performance as possible.
Btw, the edge case (if you want to call it that), is if it is given an
N-dimensional array:
>>> import nu
Chris Barker wrote:
> Do you realize that:
>
> arr = np.ones((5,))
>
> ar2 = arr * 5
>
> is broadcasting, too?
Perhaps we should only warn for a subset of broadcastings? E.g. avoid the
warning on scalar times array.
I prefer we don't warn about this though, because it might be interpreted
a
On Mon, Feb 9, 2015 at 8:31 AM, Benjamin Root wrote:
> I am trying to write up some code that takes advantage of np.tile() on
> arbitrary array-like objects. I only want to tile along the first axis. Any
> other axis, if they exist, should be left alone. I first coerce the object
> using np.asany
It appears that the only reliable way to do this may be to use a loop to
modify an object arrays in-place. Pandas has a version of this written in
Cython:
https://github.com/pydata/pandas/blob/c1a0dbc4c0dd79d77b2a34be5bc35493279013ab/pandas/lib.pyx#L342
To quote Wes McKinney "Seriously can't belie
On Sun, Feb 8, 2015 at 2:17 PM, Stefan Reiterer wrote:
> Till now the only way out of the misery
> is to make proper unit tests,
>
That's the only way out of the misery of software bugs in general --
nothing special here ;-)
Python is a dynamically typed language -- EVERYTHING could do someth
I am trying to write up some code that takes advantage of np.tile() on
arbitrary array-like objects. I only want to tile along the first axis. Any
other axis, if they exist, should be left alone. I first coerce the object
using np.asanyarray(), tile it, and then coerce it back to the original
type.
The problem would be human resources to implement it on the doc site;
I don't know how PHP people control modern spammers.
The current, Pythonic way would be to edit the tutorial when inspired. However
http://wiki.scipy.org/Tentative_NumPy_Tutorial
reads: "Please do not hesitate to click the edit
Hi Carl,
Could you please provide some details on how you used your
mingw-static toolchain to build OpenBLAS, numpy & scipy? I would like
to replicate but apparently the default Makefile in the openblas
projects expects unix commands such as `uname` and `perl` that are not
part of your archive. Di
I suppose API design is never easy if you want to match all needs out there.
If we stick to car examples: My old software engineering professor once stated, that if you drive too
fast into a curve, it's the drives fault and not the car.
So back to careful testing and dimension checking.
On 8 Feb 2015 23:34, "Stefan Reiterer" wrote:
>
> Ok that are indeed some good reasons to keep the status quo, especially
since performance is crucial for numpy.
>
> It's a dillemma: Using the matrix class for linear algebra would be the
correct way for such thing,
> but the matrix API is not that
On 09/02/15 08:34, Stefan Reiterer wrote:
> So maybe the better way would be not to add warnings to braodcasting
> operations, but to overhaul the matrix class
> to make it more attractive for numerical linear algebra(?)
I think you underestimate the amount of programming this would take.
Take a
15 matches
Mail list logo
