Powers often

A talk inspired by Powers of Ten released in 1977 a collaboration between Ray and Charles Eames and IBM. This talk was created using Jupyter Notebooks and Lab. We used RISE for our presentation.

In [1]:
    from pydata.style import *
    %load_ext literacy.template
In [1]:
https://www.youtube.com/embed/0fKBhvDjuy0
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## Topics

This presentation is inspired by simple geometries.  Eventually we settled on the following key `topics\`


    = 'design, systems, materials, community, media, culture'
    
with the accompanying `constraints\`

    = 'functional, geographical, physical, people, sensory, time'

Topics

This presentation is inspired by simple geometries. Eventually we settled on the following key topics\

= 'design, systems, materials, community, media, culture'

with the accompanying constraints\

= 'functional, geographical, physical, people, sensory, time'
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    topics, constraints = map(lambda ___: ___.replace(' ', '').split(','),[topics, constraints])
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# [Shapes of the presentation]()

Shapes of the presentation

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    df
Out[4]:
constraints functional geographical physical people sensory time
order topic
0 design systems materials community media culture design
1 systems materials community media culture design systems
2 materials community media culture design systems materials
3 community media culture design systems materials community
4 media culture design systems materials community media
5 culture design systems materials community media culture
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https://en.m.wikipedia.org/wiki/Sierpinski_triangle
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    Import('.Sierpinski Triangle');
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    Import('.shapes');
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# Abstracts
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{% for topic in topics[:2] %}{{the.Path().read_text().loads().get_in(['cells', 0, 'source'])[''.join](topic+'.ipynb')}}
{% endfor %}
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{% for topic in topics[2:4] %}{{the.Path().read_text().loads().get_in(['cells', 0, 'source'])[''.join](topic+'.ipynb')}}

{% endfor %}
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{% for topic in topics[4:] %}{{the.Path().read_text().loads().get_in(['cells', 0, 'source'])[''.join](topic+'.ipynb')}}
{% endfor %}
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## Particles

Particles are standalone articles and presentations that are importable.
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#     webrtc = __import__('particles.webrtc')