[IPython-dev] Jupyter + Processing for education

[Doug Blank]

On Fri, Jan 23, 2015 at 12:56 PM, Brian Granger <ellisonbg at gmail.com> wrote:

> Love it!
>

Thanks, guys! BTW, the background music is "Jupiter's Descendants" ...
which is so punny and appropriate for the Calysto project :)  Anticipating
"Jupiter Ascending" due in theatres on Feb 9th... maybe you can have the
official beta launch then... 2 weeks three days!

-Doug

[1] - https://soundcloud.com/victory/cinematic-layout-jupiters


>
> On Fri, Jan 23, 2015 at 8:42 AM, Juergen Hasch <python at elbonia.de> wrote:
>
>> Hey Doug,
>> this is nice!
>>
>> I always wanted to something like that, but never got around. You can be
>> sure I will play with it.
>>
>>   Juergen
>>
>> Am 23.01.2015 um 15:01 schrieb Doug Blank:
>> > IPython community,
>> >
>> > Thought you might be interested in seeing how students can use the new
>> Jupyterhub with a new, external kernel. This
>> > semester I am using the language "Processing"... originally designed
>> for artists by artists. My colleagues have written
>> > a textbook on how to use it for teaching computer science [1].
>> >
>> > Here is a 5 minute video on how it looks to the student:
>> >
>> > https://www.youtube.com/watch?v=V4TzARh-ClY
>> >
>> > and here is a live notebook:
>> >
>> > http://jupyter.cs.brynmawr.edu/hub/kohara/public/Untitled.ipynb
>> >
>> > (mouse over some of the sketches)
>> >
>> > If you know Processing, this is different from the regular Processing
>> IDE:
>> >
>> > * students log into the Jupyterhub system over the web
>> > * uses the Processing-Javascript system
>> > * each Jupyter notebook "cell" is a Processing "sketch"
>> > * Shift+Tab shows Processing on-line help
>> > * Tab will do completion (completes with Processing variables and
>> functions)
>> > * Rendered notebooks (eg, without a live computational engine/kernel
>> behind them) will still run
>> > * Slight bit of interpreter feel: can execute draw/setup functions
>> interactively
>> > * uses MetaKernel magics [2]
>> >
>> > I like the setup for education because:
>> >
>> > * I can control/configure the environment exactly (what buttons are
>> available, etc). I have a few nbextensions in the
>> > newly supported system folder, and load them in the notebook.html
>> template.
>> > * I can update the system at any time
>> > * I can track students' time-on-task
>> > * Students will be able to submit their homework (as notebooks) via a
>> button
>> > * I can add more stuff as I think of it (like the "Publish" and "Submit
>> Homework" buttons)
>> > * All of the benefits of using a notebook: by students, for students
>> ("runs like code; reads like a journal paper",
>> > "literate computing", "reproducible research", etc)
>> >
>> > Things I don't like:
>> >
>> > * Processing -> Javascript error messages are terrible
>> >
>> > We'll have all of the code easily installable (via pip) as soon as
>> Jupyter is out. Of course, you can also get the code
>> > directly [3].
>> >
>> > It could be that a Processing IPython magic could turn Processing code
>> into a really fancy, low-level, dynamic widget
>> > system for Python. Because rendered Processing sketches run in rendered
>> notebooks, it also solves some of those issues.
>> > There needs to be a way to get data to Processing. Also, for live
>> kernels, it would be handy to have Processing be able
>> > to set Python variables.
>> >
>> > -Doug
>> >
>> > [1] - http://www.apress.com/9781430244646
>> > [2] - https://github.com/Calysto/metakernel
>> > [3] -
>> https://github.com/Calysto/calysto/tree/master/calysto/language/processing
>> >
>> >
>> > _______________________________________________
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>> > IPython-dev at scipy.org
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>> >
>>
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>
>
>
> --
> Brian E. Granger
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> bgranger at calpoly.edu and ellisonbg at gmail.com
>
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