Programming tutorials

Intro to programming¶

• What is code?: What do you need to know about code to survive in a suspicious world? (Paul Ford via bloomberg.com)
• ‘Real’ Programming Is an Elitist Myth: When people build a database to manage reading lists or feed their neighbors, that’s coding—and culture. (Paul Ford via wired.com)
• Programming from A to Z: This course focuses on programming strategies and techniques behind procedural analysis and generation of text-based data. (Daniel Shiffman via shiffman.net)
• Getting started with creative coding: 10-minute tutorials: Getting started with creative coding in just a few minutes. (Harry Alisavakis, Mario Carrillo, Kate Compton, ilithya, Ruth John, and Sam Wray via githubuniverse.com)
• Exploring generative spaces: A quickstart to generative art. (Sabine Wieluch via githubuniverse.com)
• The Node Beginner Book: 13 exercises with code examples. (Glitch via glitch.com)
• Glitchet: Art Resources: Tutorials, tools, and interesting links for making glitchy art. (Glitchet via glitchet.com)
• PROCJAM Tutorials: Make something that makes something. (Glitchet via procjam.com)
• So you want to build a generator…: Essay for people getting started with building generators and for practiced experts who want a way to organize their knowledge. (Kate Compton via galaxykate0.tumblr.com)
• What is Generative Art?: An artwork may be generative in some ways and not in others. (Amy Goodchild via amygoodchild.com)
• Practical Procedural Generation for Everyone: How to use simple data structures to control complex generators. (Kate Compton via youtube.com)
• Color Theory and Procedural Generation: The fastest, easiest way to turn your programmer art into something people will actually want to look at is to get a handle on color. (Cassandra Lugo via procjam.com)
• Generating things with code: Introduction to procedural content generation. (Nicolas Barradeau via medium.com)
• r/proceduralgeneration: Procedural generation subreddit. (Reddit via reddit.com)
• Machine Learning for Artists: Practical guides, tutorials, and code samples. (@ml4a_ via ml4a.github.io)

Working with images¶

• Algorithmic Art: Tips to improve your generative artwork. (Tyler Hobbs via tylerlhobbs.com)
• Little Planet Procedural: Generating art with code. (Alan Luo via alanluo.com)
• Generative Machine Learning on the Cloud: Generative art and synthetic image generation with TensorFlow and Google Cloud. (Emily Glanz via medium.com)
• Building An AI Artist Using Neural Networks: Generate artistic images with Python and NumPy. (Anand Krish via fossbytes.com)
• Five Strategies For Collaborating With A Machine: Video from PROCJAM 2016. (Emily Short via youtube.com)
• Generative Artistry: Generative art tutorials, news and love. (Tim Holman via generativeartistry.com)
• Why Love Generative Art?: Our world has turned digital at breakneck speed and no art form has captured this transitional time period better than generative art. (Jason Bailey via artnome.com)
• Loops & Early Cinema: a Brief History: From early film history to computational art (Golan Levin via github.com)

See also: opensource image bots.

pic.twitter.com/3Ogdq7cyA2

— snufkin (@sn_fk_n) May 17, 2021

Working with text¶

General¶

• Finding Rhymes with Python: Learn about finding rhymes with code. (Nate Smith via docs.google.com)
• Electronic Literature: Explore interactive fiction, chatterbots, hypertext, and kinetic poetry in this free edX course. (Dr. Mark Sample, Kristen Eshleman, Robert McSwain, and Sara Swanson via edx.org)
• Best Practices for Procedural Narrative Generation: Research and tools that can be used to create procedural narrative experiences. (Rogelio Cardona-Rivera and Chris Martens via youtube.com)
• N-Grams and Markov Chains: Learn about the Markov Chain technique with node.js. (Daniel Shiffman via shiffman.net)
• Markov Models Write Fairy Tales: Build things like Twitter bots with Markov Chains. (Aja Hammerly via thagomizer.com)
• Rivescript: Video introduction by the author. (Noah Petherbridge via youtube.com)
• Machines Are Poets Too: Resources for creating generative text with code. (Brent Bailey via github.com)

Python¶

• Working with Tracery in Python: How to use Tracery in your Python programs. (Allison Parrish via gist.github.com)
• NLP concepts with spaCy: Introduction to basic concepts and techniques from natural language processing. (Allison Parrish via gist.github.com)
• Working with CSV files: Quick intro to "comma-separated values" files. (Allison Parrish via gist.github.com)
• Understanding word vectors: A tutorial for the "Reading and Writing Electronic Text" class. (Allison Parrish via gist.github.com)
• Quick word counts with Counter objects: How to count the number of times a word occurs in a text. (Allison Parrish via gist.github.com)

See also: opensource text-based bots.

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