[Numpy-discussion] Nature says 'Pick up Python'

A recent article in Nature advice scientists to use Python, Cython and the SciPy stack. http://www.nature.com/news/programming-pick-up-python-1.16833 Sturla ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/li

Re: [Numpy-discussion] Vectorizing computation

2015-02-13 13:25 GMT+01:00 Julian Taylor : > On 02/13/2015 01:03 PM, Francesc Alted wrote: > > 2015-02-13 12:51 GMT+01:00 Julian Taylor > >: > > > > On 02/13/2015 11:51 AM, Francesc Alted wrote: > > > Hi, > > > > > > I would like to vectorize

Re: [Numpy-discussion] Vectorizing computation

On 02/13/2015 01:03 PM, Francesc Alted wrote: > 2015-02-13 12:51 GMT+01:00 Julian Taylor >: > > On 02/13/2015 11:51 AM, Francesc Alted wrote: > > Hi, > > > > I would like to vectorize the next computation: > > > > nx, ny, nz = 720, 180

Re: [Numpy-discussion] Vectorizing computation

2015-02-13 12:51 GMT+01:00 Julian Taylor : > On 02/13/2015 11:51 AM, Francesc Alted wrote: > > Hi, > > > > I would like to vectorize the next computation: > > > > nx, ny, nz = 720, 180, 3 > > outheight = np.arange(nz) * 3 > > oro = np.arange(nx * ny).reshape((nx, ny)) > > > > def compute1(outheigh

Re: [Numpy-discussion] Vectorizing computation

On 02/13/2015 11:51 AM, Francesc Alted wrote: > Hi, > > I would like to vectorize the next computation: > > nx, ny, nz = 720, 180, 3 > outheight = np.arange(nz) * 3 > oro = np.arange(nx * ny).reshape((nx, ny)) > > def compute1(outheight, oro): > result = np.zeros((nx, ny, nz)) > for ix i

[Numpy-discussion] Vectorizing computation

Hi, I would like to vectorize the next computation: nx, ny, nz = 720, 180, 3 outheight = np.arange(nz) * 3 oro = np.arange(nx * ny).reshape((nx, ny)) def compute1(outheight, oro): result = np.zeros((nx, ny, nz)) for ix in range(nx): for iz in range(nz): result[ix, :,