Design

Design applies shared experience to forms to functional ideas.

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    from pydata.style import *
    %load_ext literacy.template
from pydata.style import *
%load_ext literacy.template
The literacy.template extension is already loaded. To reload it, use:
  %reload_ext literacy.template

Perhaps one of the earliest multiscale models, Ray and Charles describe the complex relationships across length scales. Their landmark video Powers of Ten illustrated the 1970s state of the art in the design and engineering of optical systems.

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    df.iloc[[0]]
Out[2]:
constraints functional geographical physical people sensory time
order topic
0 design systems materials community media culture design
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## _Design_ & [Systems]( "1979")

Design & Systems

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    Astropy = Import('.Astropy Units')
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## `Astropy` contains {{len(Astropy.s)}} units 

    IFrame(Astropy.path)

Astropy contains {{len(Astropy.s)}} units

IFrame(Astropy.path)
Out[4]:
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> There is an interesting region, i.e. find meters

There is an interesting region, i.e. find meters

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* https://en.wikipedia.org/wiki/Timeline_of_computing_hardware_before_1950
* https://en.wikipedia.org/wiki/History_of_computing_hardware_(1960s%E2%80%93present)


![](http://i.dailymail.co.uk/i/pix/2017/04/25/16/3F952C0D00000578-4443474-image-a-105_1493135200640.jpg)
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https://en.m.wikipedia.org/wiki/Transatlantic_communications_cable#Private_cable_routes
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![](http://www.scienceclarified.com/photos/hubble-3225.jpg)
http://www.scienceclarified.com/scitech/Telescopes/Hubble.html
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## _Design_ & [Materials]()

* Metals, Polymers, Ceramics
* Function, Structural
* Composite

Design & Materials

  • Metals, Polymers, Ceramics
  • Function, Structural
  • Composite
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![](https://i.pinimg.com/736x/f4/97/41/f497413e4278558b62544b6a9ef25de3--tv-quotes-movie-quotes.jpg)
 

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    %%html
    <div class="github-card" data-user="chrislgarry" data-repo="Apollo-11"></div>
    <script src="https://cdn.jsdelivr.net/gh/lepture/github-cards@1.0.2/jsdelivr/widget.js"></script>
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## Hubble Glass

![](http://www.scienceclarified.com/scitech/images/lsts_0001_0001_0_img0028.jpg)
 

Hubble Glass

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## [Gorilla Glass](http://www.designlife-cycle.com/corning-gorilla-glass/)
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### [Degradation of railway rails from a materials point of view](http://publications.lib.chalmers.se/records/fulltext/173441/173441.pdf#page=15)
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## [Advanced High Strength Steels](https://lightmat.org/capabilities/los-alamos-national-laboratory/advanced-high-strength-steel-development)

[![](https://lightmat.org/sites/default/files/capabilities/001_2_LANL.png)](https://lightmat.org/capabilities/los-alamos-national-laboratory/advanced-high-strength-steel-development)
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[![](https://image.slidesharecdn.com/flamel-ss-141210102438-conversion-gate02/95/flamel-materials-informatics-course-roundup-15-1024.jpg?cb=1418218370)](https://www.slideshare.net/tonyfast1/flamel-materials-informatics-course-roundup)
 

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### [High-Throughput Image Analysis of Fibrillar Materials: A Case Study on Polymer Nanofiber Packing, Alignment, and Defects in Organic Field Effect Transistors](http://pubs.acs.org/doi/abs/10.1021/acsami.7b10510)
 
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https://zoomimgs.github.io
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## _Design_ & [Community]()

> Communities, and their varied forms and structures, are essential to considering other functional constraints.

Design & Community

Communities, and their varied forms and structures, are essential to considering other functional constraints.

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### Philanthropic
* [Human Cell Atlas](https://www.humancellatlas.org/) ([Chan Zuckerberg](https://chanzuckerberg.com/))
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### Government
* National Manufacturing Initiatives
* Materials By Design
* [CERN](https://home.cern)

Government

  • National Manufacturing Initiatives
  • Materials By Design
  • CERN
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### Public

![](https://github.com/jupyter/notebook/raw/master/notebook/static/base/images/logo.png)

# conda ![](https://conda-forge.org/img/anvil_black.png) forge

Public

conda forge

In [5]:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878597/
https://en.m.wikipedia.org/wiki/Reproducibility#Reproducible_research
https://en.m.wikipedia.org/wiki/The_Structure_of_Scientific_Revolutions 
https://en.m.wikipedia.org/wiki/LIGO_Scientific_Collaboration#History
https://www.fraunhofer.de/en.html
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## _Design_ & [Media]()

![](https://www.oldtimeradiodownloads.com/assets/img/serie/img_otr.jpg)

Design & Media

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> ##  [The First Web Page](http://info.cern.ch/hypertext/WWW/TheProject.html "1990")
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## [Django](https://en.m.wikipedia.org/wiki/Django_%28web_framework%29)
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## [Particles at NYT](http://nytlabs.com/blog/2015/10/20/particles/)
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## [d3: Data-Driven documents](https://d3js.org)
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https://getbootstrap.com/
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https://reactjs.org/
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## _Design_ & [Culture]()

Our complex systems our changing and humans are adapting to displacement}

![](https://cdn.hpm.io/wp-content/uploads/2016/03/Levee-Profile.jpg)

Design & Culture

Our complex systems our changing and humans are adapting to displacement}

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https://www.ushahidi.com/ 
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https://native-land.ca/

    
inconvenient truth

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http://opengeoscience.github.io/geojs/examples/hurricanes/
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## _Design_ & [Design]()


![Gorilla glass makes this possible](http://cdn.hexjam.com/editorial_service/bases/images/000/004/947/large/brokenphonefeature.png-1.jpg?1404202657)

Design & Design

Gorilla glass makes this possible

In [6]:
## [`ωorldΒank=__import__('particles.World Bank')`](../World Bank.ipynb)
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http://www.redharebrewing.com/red-hare-launches-worlds-first-evercan/
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## [Design of Experiments](https://en.m.wikipedia.org/wiki/Design_of_experiments#Fisher.27s_principles 1935)
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    import sklearn.datasets
    print(sklearn.datasets.load_iris().DESCR)
Iris Plants Database
====================

Notes
-----
Data Set Characteristics:
    :Number of Instances: 150 (50 in each of three classes)
    :Number of Attributes: 4 numeric, predictive attributes and the class
    :Attribute Information:
        - sepal length in cm
        - sepal width in cm
        - petal length in cm
        - petal width in cm
        - class:
                - Iris-Setosa
                - Iris-Versicolour
                - Iris-Virginica
    :Summary Statistics:

    ============== ==== ==== ======= ===== ====================
                    Min  Max   Mean    SD   Class Correlation
    ============== ==== ==== ======= ===== ====================
    sepal length:   4.3  7.9   5.84   0.83    0.7826
    sepal width:    2.0  4.4   3.05   0.43   -0.4194
    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)
    petal width:    0.1  2.5   1.20  0.76     0.9565  (high!)
    ============== ==== ==== ======= ===== ====================

    :Missing Attribute Values: None
    :Class Distribution: 33.3% for each of 3 classes.
    :Creator: R.A. Fisher
    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)
    :Date: July, 1988

This is a copy of UCI ML iris datasets.
http://archive.ics.uci.edu/ml/datasets/Iris

The famous Iris database, first used by Sir R.A Fisher

This is perhaps the best known database to be found in the
pattern recognition literature.  Fisher's paper is a classic in the field and
is referenced frequently to this day.  (See Duda & Hart, for example.)  The
data set contains 3 classes of 50 instances each, where each class refers to a
type of iris plant.  One class is linearly separable from the other 2; the
latter are NOT linearly separable from each other.

References
----------
   - Fisher,R.A. "The use of multiple measurements in taxonomic problems"
     Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions to
     Mathematical Statistics" (John Wiley, NY, 1950).
   - Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis.
     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.
   - Dasarathy, B.V. (1980) "Nosing Around the Neighborhood: A New System
     Structure and Classification Rule for Recognition in Partially Exposed
     Environments".  IEEE Transactions on Pattern Analysis and Machine
     Intelligence, Vol. PAMI-2, No. 1, 67-71.
   - Gates, G.W. (1972) "The Reduced Nearest Neighbor Rule".  IEEE Transactions
     on Information Theory, May 1972, 431-433.
   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al"s AUTOCLASS II
     conceptual clustering system finds 3 classes in the data.
   - Many, many more ...