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)
• 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)
• 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 (by botwiki)
• 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)
• Practical Procedural Generation for Everyone: How to use simple data structures to control complex generators. (Kate Compton via youtube.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)
• A Myriad of Mistakes: Introducing "mistakes" into a generative system as a way of creating surprising results. (Anders Hoff via inconvergent.net)

See also: opensource image bots.

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)

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.

Technical stuff¶

• Learn command line: Really friendly introduction to using command line. (Tracy Osborn via hellowebbooks.com)
• Troubleshooting cron jobs for bot makers: How to troubleshoot your cron jobs for UNIX beginners and bot makers. (Liz Rush via lizmrush.com)

Can’t find what you’re looking for? Be sure to reach out on Twitter, or ask in the Botmakers community!