what is the difference to http://www.python.org/dev/peps/pep-3146/ ?
On Sun, Mar 11, 2012 at 4:35 PM, Travis Oliphant wrote:
> Hey all,
>
> I gave a lightning talk this morning on numba which is the start of a
> Python compiler to machine code through the LLVM tool-chain. It is proof
> of conce
Can you?
The question should be: Why sympy does not have Fresnel integrals?
On Sun, Mar 11, 2012 at 1:06 AM, aa wrote:
> why sympy cannot integrate sin(x**2)??
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It does not have an anti-derivative in terms of elementary functions.
You could do a series expansion and integrate each term.
Note that this is the numpy mailing list. The sympy mailing list is to
be found at http://sympy.org/en/support.html
Sameer
On 11 March 2012 12:36, aa wrote:
> why sympy
why sympy cannot integrate sin(x**2)??
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Hey all,
I gave a lightning talk this morning on numba which is the start of a Python
compiler to machine code through the LLVM tool-chain. It is proof of concept
stage only at this point (use it only if you are interested in helping develop
the code at this point). The only thing that wor
On 10 March 2012 02:23, Christoph Gohlke wrote:
>
>
> On 3/9/2012 11:50 AM, Sameer Grover wrote:
> import gtk
> import foo # where foo is any f2py-wrapped program
>>
>> Subsequently, on exiting python interpreter, the interpreter crashes
>> with this error message - "This application has r
Hi Sturla,
Quoting Sturla Molden :
> Den 10.03.2012 22:56, skrev Sturla Molden:
>>
>> I am not sure why NumPy uses f2c'd routines instead of a dependency
>> on BLAS and LAPACK like SciPy.
>
> Actually, np.dot does depend on the CBLAS interface to BLAS (_dotblas.c).
>
> But the lapack methods in
10.03.2012 23:19, Sturla Molden kirjoitti:
[clip]
> If the intention is to avoid Fortran dependency in NumPy, I am not sure
> why this is better than a dependency on CBLAS and LAPACKE.
The CBLAS parts aren't compiled if the library is not available --- in
that case Numpy just falls back to a total
Den 10.03.2012 22:56, skrev Sturla Molden:
I am not sure why NumPy uses f2c'd routines instead of a dependency on
BLAS and LAPACK like SciPy.
Actually, np.dot does depend on the CBLAS interface to BLAS (_dotblas.c).
But the lapack methods in lapack_lite seems to use f2c'd code. I am not
sur
Den 07.03.2012 21:02, skrev "V. Armando Solé":
I had already used the information Robert Kern provided on the 2009
thread and obtained the PyCObject as:
from scipy.linalg.blas import fblas
dgemm = fblas.dgemm._cpointer
sgemm = fblas.sgemm._cpointer
but I did not find a way to obtain those po
Den 07.03.2012 21:02, skrev "V. Armando Solé":
I had already used the information Robert Kern provided on the 2009
thread and obtained the PyCObject as:
from scipy.linalg.blas import fblas
dgemm = fblas.dgemm._cpointer
sgemm = fblas.sgemm._cpointer
but I did not find a way to obtain those po
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