GMU:Bots 'n' Plots/Part1

Python

Part I of GMU:Bots 'n' Plots.

Homework

 * Create your Twitter Account
 * Follow @botsnplots
 * Create Participant Page
 * Play on the Playground
 * Look at the Help:Editing Help Page
 * Add 1 Bot to each category
 * Download Processing!
 * Play with Python Mode

Introduction to Social Bots

How do you spot a bot?

• Turing Test

A little history of chatter bots

• Loebner Prize
• From ELIZA to SIRI to HER

A little history of plotter bots

• AARON
• 1960s Computer Art
  • Georg Nees
  • Frieder Nake
  • Manfred Mohr
  • Vera Molnar
• Creative Machine Exhibition at Goldsmiths

A little history of computer poetry

• Vocal Art
  • Ursonate (Kurt Schwitters)
  • Ursonography (Golan Levin)
  • Konsonant (Jörg Piringer)
• Narrative
  • Morphology of the Folktale (Vladimir Propp)
  • The Great Automatic Grammatizator (Roald Dahl)
  • Data-Driven Journalism

Creativity

• Computational Creativity
• Jon McCormack: Computers and Creativity, ISBN 9781283631525

Bots on Twitter

• Systema Naturae of Bots
• A Brief History of the Future of Twitter Bots (Michael Cook)
  • Feeds
    • Big Ben Clock
  • Watchers
  • Interactives
    • olivia taters
  • Imagebots
  • Feats
  • Mashups
    • Algo News
  • Bot-on-Bot
  • Statements
  • Meat

• Bot Class by Golan Levin

Learning to use the Tools

Using the Wiki + the Mailinglist

• Using the Wiki
• Using the Mailinglist

Using Twitter

• The Twitter Glossary
• Sign The Fxxk Up! and follow @botsnplots
• Twitter Apps and the Twitter API

Using Python in Processing

• Get Processing!
• Processing Python Mode
  • Reference
  • Tutorials

Using iPython Notebooks

• iPython (interactive Python, runs in the browser)
  • Play with it here
  • Explore iPython Notebooks here

• Jupyter (Class-Environment for iPython)
  • We will set up our own Jupyter server for you.
  • Nice Example of browser based python using Jupyter here (by Doug Blank)

Learn Programming in Python

• Commands
• Variables
• Control Flow
• Functions
• Dictionaries, Lists, Sets

Links

 TO BE DONE

Literature

Python Books

 TO BE DONE

• Beazley, David: Python Cookbook ISBN 978-1449340377
• Chan, Jamie: Learn Python in One Day and Learn it Well ISBN 978-1506094380
• Blum, Richard: Python Programming for Raspberry Pi ISBN 978-0789752055
• Zelle, John: Python Programming: An Introduction to Computer Science ISBN 978-1590282410
• Gries, Paul: Practical Programming: An Introduction to Computer Science Using Python 3 ISBN 978-1937785451

Processing Books

• Bartmann, Erik: Processing: kreativ programmieren mit Processing; für Designer, Künstler und Geeks; visuelle Welten gestalten ISBN 978-3-89721-997-7
• Greenberg, Ira Processing: Creative Coding and Computational Art ISBN 9781590596173
• Hartmut Bohnacker, Benedikt Groß, Julia Laub (herausg.: Lazzeroni, Claudius): Generative Gestaltung: Entwerfen. Programmieren. Visualisieren. ISBN 978-3-87439-759-9
• Maeda, John: Creative Code: Ästhetik und Programmierung am MIT Media Lab ISBN 3764371080
• Maeda, John: Maeda@media ISBN 0500282358
• Noble, Joshua: Programming interactivity: a designer's guide to processing, Arduino, and openFrameworks ISBN 0-596-15414-3
• Pearson, Matt: Generative Art - A Practical Guide Using Processing, 2011 Manning, ISBN 978-1935182627
• Reas, Casey; Fry, Ben: Processing: A Programming Handbook for Visual Designers and Artists ISBN 978-0262182621
• Reas, Casey; McWilliams, Chandler: Form+Code in Design, Art, and Architecture ISBN 978-1568989372
• Shiffman, Daniel Learning Processing: A Beginner's Guide to Programming Images, Animation, and Interaction ISBN 9780123736024
• Terzidis, Kostas: Algorithms for visual design using the processing language ISBN 978-0-470-37548-8