SfePy November 2010

sfepy@python.org

3 participants
4 discussions

by Robert Cimrman

Hi, you may have noticed that http://sfepy.org, that should point to [1], either does not work, or points to the main google site. That's because something changed, and my old DNS settings (ip 69.56.173.218) do not work anymore. I have tried changing the ip to 209.85.227.100 which is what I found to be the new ip of code.google.com (one of many), but that just redirects to google.com. Is there anyone experienced more with those issues around? r. [1] http://code.google.com/p/sfepy/

10 years, 7 months

Fwd: [SciPy-User] Announcement: Self-contained Python module to write binary VTK files.

by Robert Cimrman

Hi, could this be useful? I do not see license at the package site... r. -------- Original Message -------- Subject: [SciPy-User] Announcement: Self-contained Python module to write binary VTK files. Date: Mon, 29 Nov 2010 09:45:29 +0100 From: Paulo Herrera <pauloa....(a)gmail.com> Reply-To: SciPy Users List <scipy...(a)scipy.org> To: scipy...(a)scipy.org Hello everyone, This is my first post to this list. I would like to announce the first release of a Python module I wrote to export scientific data to binary VTK files. The source code for the module can be downloaded from its Mercurial repository at bitbucket. To get a copy, type on terminal window: hg clone https://pauloh@bitbucket.org/pauloh/pyevtk PyEVTK (Python Export VTK) package allows exporting data to binary VTK files for visualization and data analysis with any of the visualization packages that support VTK files, e.g. Paraview, VisIt and Mayavi. EVTK does not depend on any external library (e.g. VTK), so it is easy to install in different systems. The package is composed of a set of Python files and a small C/Cython library that provides performance critical routines. PyEVTK provides low and high level interfaces. While the low level interface can be used to export data that is stored in any type of container, the high level functions make easy to export data stored in Numpy arrays. In addition, it provides a helper class to create pvd files that can be imported into Paraview to visualize time dependent data series. PyEVTK is released under the GPL 3 open source license. A copy of the license is included in the src directory. Please see below for an example of how to use the high level routines. More examples are included in the package. I hope you will find this package useful and I look forward to getting your feedback. Paulo High-level interface example: ============================= from evtk.hl import imageToVTK import numpy as np # Dimensions nx, ny, nz = 6, 6, 2 ncells = nx * ny * nz npoints = (nx + 1) * (ny + 1) * (nz + 1) # Variables pressure = np.random.rand(ncells).reshape( (nx, ny, nz), order = 'C') temp = np.random.rand(npoints).reshape( (nx + 1, ny + 1, nz + 1)) imageToVTK("./image", cellData = {"pressure" : pressure}, pointData = {"temp" : temp} ) _______________________________________________ SciPy-User mailing list SciPy...(a)scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user

10 years, 7 months

sphinx 1.0.5

by Robert Cimrman

FYI: I have regenerated the development docs with the latest Sphinx, which has a cool extension (viewcode) than can link the docstrings to the actual code, see [1]. r. [1] http://docs.sfepy.org/doc-devel

10 years, 8 months

git workflow

by Robert Cimrman

FYI: there is now a very interesting discussion going on numpy-di...(a)scipy.org that resulted in [1], see also the forwarded message below. Shall we create a similar document for sfepy? r. [1] http://docs.scipy.org/doc/numpy/dev/gitwash/index.html ---------- Forwarded message ---------- Date: Tue, 12 Oct 2010 11:55:04 -0700 From: Fernando Perez <fpere...(a)gmail.com> Reply-To: Discussion of Numerical Python <numpy-di...(a)scipy.org> To: Discussion of Numerical Python <numpy-di...(a)scipy.org> Subject: Re: [Numpy-discussion] Development workflow On Tue, Oct 12, 2010 at 6:51 AM, Vincent Davis <vin...(a)vincentdavis.net> wrote: > Lots of good reading :) Just thought I'd put a plug in for the > contributor that may make only a few contributions and needs a simple > workflow to do so. It would be great if they could just.. > make there own fork > clone the branch of interest > make changes > push to there own fork > request pull. > > I think part of the point of moving to git was to make these types of > contributions easier. Ideally there would be instructions here > http://www.numpy.org/ > Matthew Brett has prepared a document with much of this in ready-to-digest form: http://github.com/matthew-brett/gitwash It's meant for easy inclusion in other projects (if they agree with the worfklow it presents), here it is for example rendered with the urls pointing to ipython repos: http://ipython.scipy.org/doc/nightly/html/development/gitwash/index.html Cheers, f _______________________________________________ NumPy-Discussion mailing list NumPy-Di...(a)scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion

10 years, 8 months

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SfePy November 2010