[IPython-dev] ipythonblocks & PyCon Talk

Damián Avila damianavila at gmail.com
Wed Jan 16 15:08:10 EST 2013


Maybe you can use the reveal_converter to do the slides for your talk.
A few days ago, the UI to get the *label* of each cell, to render 
properly as a slideshow, was merged to the ipython dev master repository...
The converter will be reviewed soon, but you can use it if you want...
Here is the curret PR: https://github.com/ipython/nbconvert/pull/69
And here you have an example of what can be done: 
I will publish soon a kind of tutorial slideshow to show the main 
features of this converter...



El 16/01/13 12:57, Matt Davis escribió:
> Definitely want to show that and Brian's pythontutor plugin.
> - Matt
> On Tue, Jan 15, 2013 at 6:07 PM, Erik Bray <erik.m.bray at gmail.com 
> <mailto:erik.m.bray at gmail.com>> wrote:
>     On Thu, Jan 10, 2013 at 9:54 PM, Matt <jiffyclub at gmail.com
>     <mailto:jiffyclub at gmail.com>> wrote:
>     > Hi all,
>     >
>     > One of the (many) reasons I love the IPython Notebook is its
>     potential for education. One way it can be leveraged is via the
>     rich outputs possible, which allowed me to write the ipythonblocks
>     package. ipythonblocks provides an object that displays itself as
>     a colored HTML table that students can manipulate. See my blog
>     post here: http://j.mp/ZNEBM5.
>     >
>     > The Notebook has other education friendly properties, especially
>     its ability to stand alone as a self-contained environment. No
>     switching between editors, shells, and docs... At PyCon in March
>     I'm going to be giving a talk on teaching with the Notebook
>     (http://j.mp/TNSzda). I'll probably spend a couple minutes of the
>     talk relaying thoughts and anecdotes from other Software Carpentry
>     instructors and I'd like to invite anyone here who uses the
>     Notebook as a teaching tool to send me any particularly compelling
>     stories that illustrate the Notebook's value in the classroom.
>     This reminds me--if you haven't already you might want to consider
>     demonstrating ipython_nose in your PyCon talk.  Your mention of never
>     having to leave ipython notebook reminded me of it.  It should "just
>     work" if you `pip install
>     git+https://github.com/taavi/ipython_nose.git`
>     <https://github.com/taavi/ipython_nose.git%60> and then in IPython do
>     %load_ext ipython_nose.  Then you can write nose tests right in
>     IPython and run them with %nose.  It works in the CLI, but is
>     especially slick in the notebook.
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