Jacob Heil
WHO I AM I am the Assistant Director for Digital Learning in Davidson College's E.H. Little Library.
Jacob Heil, Digital Scholarship Librarian, Dir. of CoRE
jheil@wooster.edu
tracery
An introduction
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Overview
VocaB
Code
examples
Introduction to Tracery
Overview
Introduction to Tracery
Tracery is a computer language for random text generation
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Written in JSON (javascript object notation)
- semi-structured data with "attribute" : "value" pairs.
- flexible in terms of lineation
- incredibly inflexible in terms of syntax
- Uses a replacement grammar, in which it identifies a "rule" and selects text associated with that rule as a replacement
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
VocaB
Introduction to Tracery
Grammar
{
"origin": "Hello, world!"
}
Origin
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
VocaB
Introduction to Tracery
{
"origin": "Hello, #planet#!",
"planet": "earth"
}
Expansion
Rule
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Code
Introduction to Tracery
{
"origin": "Hello, #planet#!",
"planet": "earth"
}
{ "origin": "Hello, #planet#!", "planet": ["earth", "mars", "pluto"] }
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Introduction to Tracery
{
"origin": "Hello, #planet#!",
"planet": ["earth", "mars", "pluto"]
}
{ "origin": "#greeting#, #planet#!", "planet": ["earth", "mars", "pluto"], "greeting": ["hello", "yo", "hola", "sup"] }
examples
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Introduction to Tracery
{
"origin": "#greeting#, #planet#!",
"planet": ["earth", "mars", "pluto"],
"greeting": ["hello", "yo", "hola", "sup"]
}
{
"origin": "#greeting.capitalize#, #planet.capitalize#!",
"planet": ["earth", "mars", "pluto"],
"greeting": ["hello", "yo", "hola", "sup"]
}
examples
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Introduction to Tracery
{ "origin": "#greeting.capitalize#, #planet.capitalize#, I am #opt#!", "planet": ["earth", "mars", "pluto"], "greeting": ["hello", "yo", "hola", "sup"], "opt": ["#flower.a#", "#flower.s#"], "flower": ["rose", "tulip", "carnation", "aster", "iris"] }
examples
Jacob Heil, Digital Scholarship Librarian, Dir. of CoRE
jheil@wooster.edu
CHEAP BOTS DONE QUICK
WORKSHOP
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Overview
Code
CHEAP BOTS DONE QUICK
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Code
CHEAP BOTS DONE QUICK
{
"origin" : "A slave owner just sold a human being who was a mother."
}
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Code
CHEAP BOTS DONE QUICK
{
"origin" : "#offender.a.capitalize# just #act# #person.a# who was #relation.a#.\n\n
(We are learning about code via Bots and Tracery, and this is an homage to @every3minutes)",
"offender" : ["American", "white American", "white slaver", "white person", "slaver"],
"act" : ["sold", "bought", "purchased", "traded"],
"person" : ["person", "enslaved person", "black person", "human being"],
"relation" : ["mother", "father", "sister", "brother", "grandmother", "grandfather"]
}Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Code
CHEAP BOTS DONE QUICK
{
"origin": ["so much depends\nupon\n\n#fruits.a#\n#flowers#\n\nglazed with\n#abridged body fluids#\n\nbeside the #descriptions#\n#clothes.s#.\n\nhacked by NAME\n"],
"fruits": ["apple", "apricot", "avocado"],
"flowers": ["anemone","amaryllis","water lily","zinnia"],
"abridged body fluids": ["amniotic fluid", "bile", "blood","sweat","tears"],
"descriptions": ["able", "abnormal", "self-assured", "unwilling", "vulnerable", "zealous"],
"clothes": ["ball gown", "belt", "cufflinks", "cummerbund", "dinner jacket"]
}
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Overview
Code
CHEAP BOTS DONE QUICK
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Overview
Code
CHEAP BOTS DONE QUICK
Jacob Heil, Digital Scholarship Librarian, Dir. of CoRE
jheil@wooster.edu
Python + Twitter Bots
WORKSHOP
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Access these slides on your device: https://slides.com/jacobheil/tracery
Follow along with lecture: http://tiny.cc/tracery
Overview
VocaB
Code
examples
Introduction to Python (kind of)
Jacob Heil, Digital Scholarship Librarian, Dir. of CoRE
jheil@wooster.edu
pythonanywhere.com
Account setup
Introduction to Tracery
By Jacob Heil
Introduction to Tracery
A very brief introduction to Tracery, a computer language for random text generation originally developed by Kate Compton. This brief introduction draws from Allison Parrish's excellent Tracery Tutorial (http://air.decontextualize.com/tracery/).
