SciPy09 Video page direct links
Hello, I had some issues searching for SciPy 09 video files this morning. Although the search was broken, at the same time it was still possible to link directly to the video pages. The attached basic html file (no javascript or images) has the tutorial and conference schedule and direct links to corresponding videos. You should be able to save the file and open locally. Cheers, Eric Carlson
On Tue, Aug 25, 2009 at 12:18 PM, Eric Carlson<ecarlson@eng.ua.edu> wrote:
Hello,
I had some issues searching for SciPy 09 video files this morning. Although the search was broken, at the same time it was still possible to link directly to the video pages.
The attached basic html file (no javascript or images) has the tutorial and conference schedule and direct links to corresponding videos. You should be able to save the file and open locally.
Hey this is great - - the relevant sections of the scipy website are written in ReST, I believe, so what would be most helpful would be a ReST document that has the content you submitted in html. http://docutils.sourceforge.net/docs/ref/rst/introduction.html The the website developers could just drop it into the conference pages.
On 8/27/2009 8:43 PM John Hunter apparently wrote:
Hey this is great - - the relevant sections of the scipy website are written in ReST, I believe, so what would be most helpful would be a ReST document that has the content you submitted in html.
http://docutils.sourceforge.net/docs/ref/rst/introduction.html
The the website developers could just drop it into the conference pages.
http://docutils.sourceforge.net/sandbox/cliechti/html2rst/html2rst.py hth, Alan Isaac
On 8/27/2009 8:43 PM John Hunter apparently wrote:
Hey this is great - - the relevant sections of the scipy website are written in ReST, I believe, so what would be most helpful would be a ReST document that has the content you submitted in html.
http://docutils.sourceforge.net/docs/ref/rst/introduction.html
The the website developers could just drop it into the conference pages.
http://docutils.sourceforge.net/sandbox/cliechti/html2rst/html2rst.py
hth, Alan Isaac Per your request John, attached is an rst version that I think should work. I got it to build in Sphinx with only one warning about this doc not being in the TOC tree. To the best of my proofing, I think that all
Alan G Isaac wrote: the links work, but ... I used Alan's link as a starting point for the translation, and got to learn a considerable amount about string encoding (thanks to Gael's name it seems). html2rst gave me a useful starting point, but still left me a great opportunity to learn much about ReST. The program did a great job with many parts, so I presume most problems arose from problems with the original html. Anyway, it was a good lesson for me and I hope the file will be helpful for others. Cheers, EC SciPy 2009 Videos, Other Links ============================== `Slides and data here`_ Introductory Tutorials ====================== (see bottom of this page for suggested pre-req's) **Tuesday** Morning: 8:30-10:20. `Intro to Python`_: Gael Varoquaux, Christopher Burns - Quick IPython introduction: the workflow - Basic types: scalar types: int, float, complex - Collections: list and dictionaries (and tuples, sets, ...) - `Control flow`_: if, for, range, while, break, continue - `Functions`:_ definitions, arguments, docstrings, ... 10:20-10:40. Break. 10:40-12:30. Intro to Python (continued): Gael Varoquaux, Christopher Burns - `Exceptions handling in Python`_ - Reusing your code: creating modules, '__main__'. - Standalone scripts, command line arguments. - `I/O`_, file handling - `Standard library`_ and general utilities. - Timing Lunch break (on your own): 12:30-2:00. Afternoon: 2:00-2:30. Debugging: Christopher Burns - effective strategies and effective debugger usage - print statements - %debug in IPython 2:30-3:00. Testing: Stefan van der Walt - the concept: using testing properties of code via a function doctests 3:00-3:50. Basic numpy arrays: Stefan van der Walt - The array, an n-dimensional object - vectorizing for speed and ease 3:50-4:10. Break. 4:10-4:30. Basic plotting with matplotlib: Mike Droettboom - plotting 1D arrays: points and lines, - plotting 2D arrays: images 4:30-5:00. more numpy: Stefan van der Walt - The memory model - dtypes - views and copies - Array creation 5:00-6:00. Spill-over and Q & A session. **Wednesday** Morning: 8:00-8:30. Optional startup session where the organizers will try to assist with any last-minute setup or installation problems. 8:30-9:30. `More matplotlib`_ Mike Droettboom - customizing colors, styles - legend - matplotlibrc - math text 9:30-10:20. `More numpy`_: Perry Greenfield - advanced indexing - use of where - zen, examples of vectorizing - ieee special number and error handling (5 min) - masked arrays (10-15 min) 10:20-10:40. Break. 10:40-11:30. More numpy (continued) Perry Greenfield 11:30-12:00. `Basic 3d plots with mlab`_ : Gael Varoquaux - 3D plotting functions - their keyword arguments - the GUI Lunch break (on your own): 12:30-2:00. Afternoon: 2:00-3:50. `Using scipy for numerics`_: David Cournapeau, Eric Jones - Linear algebra - random numbers - FFT - special functions - Root finding - Quadrature - ODEs 3:50-4:10. Break. 4:10-5:30. `The Whole Enchilada`_: Eric Jones -Largish assignment to tie all of the above together. 5:30-6:00. Q & A Session Advanced Tutorials ================== **Tuesday** Morning: 8:00-8:30. Optional startup session where the organizers will try to assist with any last-minute setup or installation problems. 8:30-10:20. `Advanced numpy 1`_ and `advanced numpy 2`_: Stefan van der Walt and David Cournapeau. 10:20-10:40. Break. 10:40-12:30. `Advanced topics in matplotlib`_: John Hunter Lunch break (on your own): 12:30-2:00. Afternoon: 2:00-3:50. `Symbolic computing with sympy`_: Ondrej Certik. 3:50-4:10. Break. 4:10-6:00. `Statistics with Scipy`_: Robert Kern. **Wednesday** Morning: 8:00-8:30. Optional startup session where the organizers will try to assist with any last-minute setup or installation problems. 8:30-10:20. `Cython`_: Dag Sverre Seljebotn. 10:20-10:40. Break. 10:40-12:30. `Using GPUs with PyCUDA`_: Nicolas Pinto. Lunch break (on your own): 12:30-2:00. Afternoon: 2:00-3:50. `Designing scientific interfaces with Traits`_: Enthought. 3:50-4:10. Break. 4:10-6:00. `Mayavi/TVTK`_ : Prabhu Ramachandran. Conference ========== **Thursday, August 20** 9:00 - 9:10 `Welcome`_ (Jarrod Millman & Gael Varoquaux) 9:10 - 9:30 `Update on the core projects`_ (Charles Harrison, Fernando Perez, John Hunter, David Cournapeau) 9:30 - 10:30 `Keynote - What to demand from a Scientific Computing Language -- Even if you don't care about computing or languages`_ (Peter Norvig, Director of Research, Google) BREAK (10:30 - 11:00) 11:00 - 11:10 `nipy.timeseries - Neuroimaging time-series analysis`_ (Ariel Rokem, UC Berkeley) 11:10 - 11:50 `Virtual reality - a tool for the highly quantitative study of animal behavior`_ (Andrew Straw, Caltech) 11:50 - 12:10 `Parallel Kernels - An Architecture for Distributed Parallel Computing`_ (Nikunj Patel, University of Maryland) 12:10 - 12:20 `PaPy - Parallel and distributed data-processing pipelines in Python`_ (Marcin Cieslik, University of Virginia) 12:20 - 12:30 `High-Performance Code Generation Using CorePy`_ (Andrew Friedley, Indiana University) LUNCH (12:30 - 2:30) On your own. 2:30 - 3:00 `Panel discussion (Python and Parallel computing`_ (Michael Aivazis, Brian Granger, Nicolas Pinto, moderator: Gael Varoquaux) 3:00 - 3:10 `Sherpa - 1D/2D modeling and fitting in Python`_ (Brian Refsdal, Harvard Smithsonian Center for Astrophysics) 3:10 - 3:20 `Multiprocess System for Virtual Instruments in Python`_ (Brian D'Urso, University of Pittsburgh) 3:20 - 3:30 `ESPResSo++ - A Python-controlled, Parallel Simulation Software for Soft Matter Research`_ (Olaf Lenz, Max-Planck-Institute for polymer research, Mainz, Germany) BREAK (3:30 - 4:00) 4:00 - 4:40 `Sympy`_ (Ondrej Certik, University of Nevada, Reno) 4:40 - 4:50 `Python implementation of weno interpolation and reconstruction`_ (Adrian Townsend, University of Washington) 4:50 - 5:00 `Writing Safer NumPy Extensions in C++ with Templates and TooN`_ (Damian Eads, University of California) 5:00 - 6:00 Lightning Talks `Talks 1-4`_ of the "lightening talks" (very brief talks) given at the SciPy 2009 conference. Speakers and topics are: 1. Olaf Lenz - Parallel Method Invocation (PMI) 2. John Wright - Software technologies used in EU "Total Crystallography" project. 3. Michael Ressler, "Python in the JWST/MIRI Project" 4. Daren Dale, Quantities: support for units and physical constants based on numpy. `Talks 5-8`_ of the "lightening talks" (very brief talks) given at the SciPy 2009 conference. Speakers and topics are: 5. James Turner, Astrodata - data reduction software for astronomy 6. Peter Wang of Enthought. Chaco Mayav bridge. 7. ? of Enthought. Analyzing investment options. 8. Luke Peterson, UC Davis. PyDy - derive equations of motions for mechanical systems. `Talks 9-13`_ of the "lightening talks" (very brief talks) given at the SciPy 2009 conference. Speakers and topics are: 9. John Hunter - sphinx sampledoc documentation system. 10. ?. Developing application using traits. 11. Jiao Lin, Caltech. Luban: a generic UI builder. http://dev.danse.us/trac/pyregui 12. Brian Grangers - running matplotlib without requiring -pylab at ipython startup. 13. Mike McKerns, Caltech 6:30 Informal reception (Location: Beckman Courtyard, in front of the conference room - map) 7:30 Astronomy BoF:. Gather together at reception to decide where to hold BoF (e.g., possibly combine with dinner) 8:30 - late BoFs. Machine Learning/Probabilistic Modeling, Powell Booth, library (upstairs) PDE BoF, Powell Booth room 120 **Friday, August 21** The conference talks are held at the Beckman institute (map). 9:00 - 9:10 `Welcome Day 2`_(Jarrod Millman & Gael Varoquaux)` 9:10 - 10:10 `Keynote - Modeling of Materials with Python`_ (Jonathan Guyer, NIST) 10:10 - 10:30 `Hermes and FEMhub Project`_ (Pavel Solin, University of Nevada, Reno) BREAK (10:30 - 11:00) 11:00 - 11:20 `The PyMca Application and Toolkit`_ (Armando Sole, ESRF, France) 11:20 - 11:30 `Implementation of automatic script recording and network control for Mayavi`_ (Prabhu Ramachandran, IIT Bombay, India) 11:30 - 12:10 `Fast numerical computations with Cython`_ (Dag Sverre Seljebotn, University of Oslo, Norway) 12:10 - 12:30 `Fwrap - The Next-Generation Fortran-to-Python Interface Generator`_ (Kurt Smith, University of Wisconsin-Madison) LUNCH (12:30 - 2:30) On your own. 1:30-2:30: Documentation BoF, Powell Booth, room 100. Brief presentation by Robert Kern? about `stackOverflow`_ (website for getting answers to technical questions), and by Nicolas Pinto about a script to make it easy to use Amazon EC2. 2:30 - 3:00 `Panel discussion - State of Python visualization tools`_ (John Hunter, Prabhu Ramachandran, Peter Wang. Moderator: Stefan van der Walt) 3:00 - 3:20 `PySAL - A Python Library for Spatial Analysis and Geocomputation`_ (Serge Rey, Arizona State University) 3:20 - 3:30 `Neutron Scattering Data Acquisition and Experiment Automation with Python`_ (Piotr Zolnierczuk, Oak Ridge National Lab) BREAK (3:30 - 4:00) 4:00 - 4:20 `Exploring the future of bioinformatics data sharing and mining with Pygr and Worldbase`_ (Chris Lee, UCLA) 4:20 - 4:30 `A full software stack for visualizing next-generation sequence information`_ (Titus Brown, Michigan State University) 4:30 - 4:40 `Pyclaw - The Evolution of Clawpack into Python`_ (Kyle Mandli, University of Washington) 4:40 - 4:50 `NumPy and SciPy Documentation in 2009 and Beyond`_ (Joe Harrington, U. Central Florida) 4:50 - 5:00 `Python in science and engineering education in India (Prabhu Ramachandran`_ , IIT Bombay, India) 5:00 - 6:00 Next challenges for Python in Science (moderator: Jarrod Millman) 1st panel:`The view of the pioneers`_ (John Hunter, Eric Jones, Charles Harrison, Fernando Perez, Prabhu Ramachandran) 2nd panel: `The view of the young generation`_ (David Cournapeau, Pauli Virtanen, Gael Varoquaux, Stefan van der Walt) `Closing Comments`_ Introductory to Scientific computing with Python tutorial ========================================================= **Audience** Scientists and engineers who are familiar with computers and basic numerical computing. **Objectives** At the end of the course participants will be: 1. able to write reasonable quality, procedural Python programs. 2. broadly exposed to several of the relevant Python packages for numerical computing like ``ipython`` (interactive data exploration), ``numpy`` (arrays), ``scipy`` (numerics), ``matplotlib`` (high quality 2D plotting), and mayavi's ``mlab`` (simple 3D plotting) in order to write code for typical scientific computing tasks involving numerical algorithms, data analysis, data exploration and visualization. 3. understand the general tools, workflow and best practices involved in writing good quality, tested, Python programs for scientific computing. **Structure of tutorial** The course will be **completely hands on**. All of the lecture material will expect users to type along and the sessions will be punctuated with exercises. The solutions for these exercises will also be discussed. **Pre-requisites** - Attendees are expected to bring along their laptops **fully setup with the necessary software**. We suggest installing `EPD`_ or `Python(x,y)`_. If you install Python(x,y) be sure to install the *Full Edition* which includes the *Advanced Python Modules*. The various software required are: - Python, version 2.5 or above, - numpy, version 1.2 or above, - scipy, version 0.7 or above, - IPython, version 0.8 or above, - matplotlib, version 0.9 or above, - Mayavi, version, 3.1 or above. - Once you have installed these packages, you may want to download and run this `checklist`_ script. It will do some sanity checks on your system, and if it finds a problem, it will generate a reasonably detailed report you can mail for help. We will try to assist you with fixing any problems you may run into before the actual conference starts, to save time and hassles. - Attendees are expected to be comfortable using the command line on their OS. If you are not comfortable with the command line, see `this tutorial`_ for an introductory lesson. - Attendees are expected to be comfortable using a programming editor of their choosing, which also supports Python. Some recommended editors: - Windows: notepad++ - OSX: TextWrangler, TextMate - linux: gedit (gnome), kate (KDE) - All operating systems: Emacs, Vim. - The tutorials assume the audience has done some programming in Matlab (or similar) and is comfortable with basic numerical computing in these environments. - No prior programming experience with Python is expected. However, attendees are **strongly encouraged** to go through the `official Python tutorial`_ before attending the Introductory Tutorial. This material will be reviewed during the course, but *only briefly*. We recommend working through these chapters: - Chapter 1: Whetting Your Appetite - Chapter 2.1: The Python Interpreter - Chapter 3: Introduction to Python - Chapter 4.1-4.6: Python Flow Control - Chapter 5.1, 5.1.1, 5.1.2, 5.3, 5.5, 5.6: Python Data Structures - Chapter 6.0 (not 6.1): Basics on Python Modules - Chapter 7.0, 7.2, 7.2.1: Input and Output in Python - Attendees are encouraged to read the `Numpy Tutorial`_. .. _Slides and data here: http://conference.scipy.org/slides .. _Intro to Python: http://www.archive.org/details/scipy09_introTutorialDay1_1 .. _Control flow: http://www.archive.org/details/scipy09_introTutorialDay1_2 .. _Functions: http://www.archive.org/details/scipy09_introTutorialDay1_3 .. _Exceptions handling in Python: http://www.archive.org/details/scipy09_introTutorialDay1_4 .. _I/O: http://www.archive.org/details/scipy09_introTutorialDay1_5 .. _Standard library: http://www.archive.org/details/scipy09_introTutorialDay1_6 .. _More matplotlib: http://www.archive.org/details/scipy09_introTutorialDay2_1 .. _More numpy: http://www.archive.org/details/scipy09_introTutorialDay2_2 .. _Basic 3d plots with mlab: http://www.archive.org/details/scipy09_introTutorialDay2_3 .. _Using scipy for numerics: http://www.archive.org/details/scipy09_introTutorialDay2_4 .. _The Whole Enchilada: http://www.archive.org/details/scipy09_introTutorialDay2_5 .. _Advanced numpy 1: http://www.archive.org/details/scipy09_advancedTutorialDay1_1 .. _advanced numpy 2: http://www.archive.org/details/scipy09_advancedTutorialDay1_2 .. _Advanced topics in matplotlib: http://www.archive.org/details/scipy09_advancedTutorialDay1_3 .. _Symbolic computing with sympy: http://www.archive.org/details/scipy09_advancedTutorialDay1_4 .. _Statistics with Scipy: http://www.archive.org/details/scipy09_advancedTutorialDay1_5 .. _Cython: http://www.archive.org/details/scipy09_advancedTutorial_6 .. _Using GPUs with PyCUDA: http://www.archive.org/details/scipy09_advancedTutorial_7 .. _Designing scientific interfaces with Traits: http://www.archive.org/details/scipy09_advancedTutorial_8 .. _Mayavi/TVTK: http://www.archive.org/details/scipy09_advancedTutorial_9 .. _Welcome: http://www.archive.org/details/scipy09_day1_01-Welcome .. _Update on the core projects: http://www.archive.org/details/scipy09_day1_02-Core_projects .. _Keynote - What to demand from a Scientific Computing Language -- Even if you don't care about computing or languages: http://www.archive.org/details/scipy09_day1_03-Peter_Norvig .. _nipy.timeseries - Neuroimaging time-series analysis: http://www.archive.org/details/scipy09_day1_04-Ariel_Rokem .. _Virtual reality - a tool for the highly quantitative study of animal behavior: http://www.archive.org/details/scipy09_day1_05-Andrew_Straw .. _Parallel Kernels - An Architecture for Distributed Parallel Computing: http://www.archive.org/details/scipy09_day1_06-Nikunj_Patel .. _PaPy - Parallel and distributed data-processing pipelines in Python: http://www.archive.org/details/scipy09_day1_07-Marcin_Cieslik .. _High-Performance Code Generation Using CorePy: http://www.archive.org/details/scipy09_day1_08-Andrew_Friedley .. _Panel discussion (Python and Parallel computing: http://www.archive.org/details/scipy09_day1_09-Panel_parallel_computing .. _Sherpa - 1D/2D modeling and fitting in Python: http://www.archive.org/details/scipy09_day1_10-Brian_Refsdal .. _Multiprocess System for Virtual Instruments in Python: http://www.archive.org/details/scipy09_day1_11-Brian_DUrso .. _ESPResSo++ - A Python-controlled, Parallel Simulation Software for Soft Matter Research: http://www.archive.org/details/scipy09_day1_12-Olaf_Lenz .. _Sympy: http://www.archive.org/details/scipy09_day1_13-Ondrej_Certik .. _Python implementation of weno interpolation and reconstruction: http://www.archive.org/details/scipy09_day1_14-Adrian_Townsend .. _Writing Safer NumPy Extensions in C++ with Templates and TooN: http://www.archive.org/details/scipy09_day1_15-Damian_Eads .. _Talks 1-4: http://www.archive.org/details/scipy09_day1_16-Lightning_talks_1-4 .. _Talks 5-8: http://www.archive.org/details/scipy09_day1_17-Lightning_talks_5-8 .. _Talks 9-13: http://www.archive.org/details/scipy09_day1_18-Lightning_talks_9-13 .. _Welcome Day 2: http://www.archive.org/details/scipy09_day2_01-Welcome .. _Keynote - Modeling of Materials with Python: http://www.archive.org/details/scipy09_day2_02-Jonathan_Guyer .. _Hermes and FEMhub Project: http://www.archive.org/details/scipy09_day2_03-Pavel_Solin .. _The PyMca Application and Toolkit: http://www.archive.org/details/scipy09_day2_04-Armando_Sole .. _Implementation of automatic script recording and network control for Mayavi: http://www.archive.org/details/scipy09_day2_05-Prabhu_Ramachandran .. _Fast numerical computations with Cython: http://www.archive.org/details/scipy09_day2_06-Dag_Sverre_Seljebotn .. _Fwrap - The Next-Generation Fortran-to-Python Interface Generator: http://www.archive.org/details/scipy09_day2_07-Kurt_Smith .. _stackOverflow: http://www.archive.org/details/scipy09_day2_08-Brief_presentations .. _Panel discussion - State of Python visualization tools: http://www.archive.org/details/scipy09_day2_09-Panel_visualization_tools .. _PySAL - A Python Library for Spatial Analysis and Geocomputation: http://www.archive.org/details/scipy09_day2_10-Serge_Rey .. _Neutron Scattering Data Acquisition and Experiment Automation with Python : http://www.archive.org/details/scipy09_day2_11-Piotr_Zolnierczuk .. _Exploring the future of bioinformatics data sharing and mining with Pygr and Worldbase: http://www.archive.org/details/scipy09_day2_12-Chris_Lee .. _A full software stack for visualizing next-generation sequence information: http://www.archive.org/details/scipy09_day2_13-Titus_Brown .. _Pyclaw - The Evolution of Clawpack into Python: http://www.archive.org/details/scipy09_day2_14-Kyle_Mandli .. _NumPy and SciPy Documentation in 2009 and Beyond: http://www.archive.org/details/scipy09_day2_15-Joe_Harrington .. _Python in science and engineering education in India (Prabhu Ramachandran: http://www.archive.org/details/scipy09_day2_16-Prabhu_Ramachandran .. _The view of the pioneers: http://www.archive.org/details/scipy09_day2_17-Panel_pioneers .. _The view of the young generation: http://www.archive.org/details/scipy09_day2_18-Panel_young_generation .. _Closing Comments: http://www.archive.org/details/scipy09_day2_19-Closing_comments .. _this map: http://www.scipy.org/Conference?action=AttachFile&do=get&target=SciPy09 -campus-map-final.pdf .. _on Caltech's website: http://www.caltech.edu/map/ .. _EPD: http://www.enthought.com/products/epd.php .. _Python(x,y): http://www.pythonxy.com/ .. _checklist: https://cirl.berkeley.edu/fperez/tmp/intro_tut_checklist.py .. _this tutorial: http://swc.scipy.org/lec/shell01.html .. _official Python tutorial: http://docs.python.org/tut .. _Numpy Tutorial: http://www.scipy.org/Tentative_NumPy_Tutorial
On 27-Aug-09, at 8:43 PM, John Hunter wrote:
Hey this is great - - the relevant sections of the scipy website are written in ReST, I believe, so what would be most helpful would be a ReST document that has the content you submitted in html.
They aren't, yet -- they're written in whatever awful wiki dialect Moin uses. Though that will be changing shortly. I've put off announcing it to the list, but myself and a few others have been slowly converting all the useful (non-spam and non-personal page) content on the wiki to ReST, with the goal of moving the SciPy.org main page off of moin and onto Sphinx, and the Cookbook into pydocweb. You can take a look at the progress at http://github.com/dwf/rescued-scipy-wiki/ We'll certainly leave the current wiki intact for the time being, and there may be a fresh wiki instance (with CAPTCHAs to prevent the downward spiral we've seen within the current Moin instance) set up afterward, but it seems like the face of the community to the world ought to be one that is less of a mess, easily maintainable, and with comparatively little opportunity for vandalism. David
On Thu, Aug 27, 2009 at 11:04:47PM -0400, David Warde-Farley wrote:
On 27-Aug-09, at 8:43 PM, John Hunter wrote:
Hey this is great - - the relevant sections of the scipy website are written in ReST, I believe, so what would be most helpful would be a ReST document that has the content you submitted in html.
They aren't, yet -- they're written in whatever awful wiki dialect Moin uses. Though that will be changing shortly.
The scipy conference website are, actually, eventhough it is hidden to the user. So, I can back what John said, if you give us a ReST file, we will be able to add it easily to the conference website, and be much grateful. Gaël
On 28-Aug-09, at 1:27 AM, Gael Varoquaux wrote:
The scipy conference website are, actually, eventhough it is hidden to the user.
My bad! As a side note, there are previous years' conference wiki pages which have been (mostly) converted into ReST, and would probably be more at home on the conference web page than anywhere else. We'll keep fixing them up, but feel free to take the ReST files and throw them somewhere in the conference website if you have some cycles to spare. David
On Fri, Aug 28, 2009 at 02:34:30AM -0400, David Warde-Farley wrote:
On 28-Aug-09, at 1:27 AM, Gael Varoquaux wrote:
The scipy conference website are, actually, eventhough it is hidden to the user.
My bad!
As a side note, there are previous years' conference wiki pages which have been (mostly) converted into ReST, and would probably be more at home on the conference web page than anywhere else. We'll keep fixing them up, but feel free to take the ReST files and throw them somewhere in the conference website if you have some cycles to spare.
I believe that you are overestimating the quality of the web application behind the conference website. I don't think that we can easily to that. The wiki engine powering the conference website is a very simple one, and we can't add pages to the 'old conference' part :(. Gaël
On Thu, Aug 27, 2009 at 11:34 PM, David Warde-Farley<dwf@cs.toronto.edu> wrote:
As a side note, there are previous years' conference wiki pages which have been (mostly) converted into ReST, and would probably be more at
As a side-side note, it's worth remembering that moin understands reST already. I've been recently making all new pages in moin wikis using this: {{{ #!rst ... }}} I'm not sure it catches 100% of reST and in the long run we do want to transition to a native-reST solution, but tagging existing pages like this may help contain the spread of Moin markup further... Cheers, f
I've put off announcing it to the list, but myself and a few others have been slowly converting all the useful (non-spam and non-personal page) content on the wiki to ReST, with the goal of moving the SciPy.org main page off of moin and onto Sphinx, and the Cookbook into pydocweb. You can take a look at the progress at http://github.com/dwf/rescued-scipy-wiki/ I have done something similar recently.
I had good success using pandoc for html2rest or wiki to rest. Hope that helps. You may drop me a note as PM. I can send you my humble script.
You may drop me a note as PM. I can send you my humble script. Its actually here: http://bazaar.launchpad.net/~timmie/web2py/web2py-appdocu/annotate/head%3A/d...
A very simple one. No science ;-( here are the dialiects supported by pandoc: http://johnmacfarlane.net/pandoc/ And taking this example: http://zwiki.org/MoinMoinMarkupExamples moinmoin looks like mediawiki markup. But I am not shure I as I do not use wikis that much...
On 28-Aug-09, at 4:09 AM, Tim Michelsen wrote:
I have done something similar recently.
I had good success using pandoc for html2rest or wiki to rest.
Hope that helps.
Hi Tim, Thanks for the pointer. I've used pandoc in the past to convert the numarray ndimage docs ( http://stsdas.stsci.edu/numarray/Doc/module-numarray.ndimage.html ) to the version that currently appears in the SciPy Reference Guide, and it worked quite well for that purpose. It doesn't look like it supports Moin wiki dialect, but I've been using a MoinMoin plugin that I resurrected from terminal bit rot, my modified version is at http://github.com/dwf/moin2rst/tree/master . It does an okay job, but doesn't handle everything. I've been using lots of ad hoc regexps to do the cleanup, and have been a little astonished at how successfully I've been at automating a lot of things. The nice thing about moin2rst is that it's a MoinMoin plugin and can use Moin's own parser; the trouble is that Moin seems to change their API quite frequently and I had to diddle a lot of imports to get it to work. Ideally I (or someone) would expand my fork of moin2rst so that it does a really bang-up job of converting Moin pages to ReST, but at this point I don't have the time or inclination for such an effort. Cheers, David
participants (7)
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Alan G Isaac -
David Warde-Farley -
Eric Carlson -
Fernando Perez -
Gael Varoquaux -
John Hunter -
Tim Michelsen