DHLab Workshops

Welcome to the landing page for workshops taught by Yale University's Digital Humanities Lab. This repository contains code, data, and visualizations from past workshops. If you're interested in working through the materials, follow the links below to access the relevant subdirectories in this repository. If you're a Yale affiliate and would like to propose a future workshop on data mining or humanities programming, open an issue for this repository or get in touch via email!

Creation Date	Topic
05-24-2016	Plotting the distribution of keywords in a single text with R
05-31-2016	Plotting the distributions of keywords in multiple texts with R
07-14-2016	Web Scraping with Unix and Python
08-18-2016	Building a Bookworm on a Linux Server
09-20-2016	Topic Modeling with R
09-27-2016	Introduction to the Command Line
10-11-2016	InPho Topic Explorer
01-26-2017	Introduction to React.js
04-13-2017	Google Analytics with R
04-18-2017	Introduction to Git and Github
04-20-2017	Introduction to ggplot2
09-26-2017	Named Entity Recognition with Stanford's CoreNLP
10-17-2017	Introduction to Story Maps
10-25-2017	Introduction to JavaScript
11-10-2017	Command Line Git
11-28-2017	Introduction to D3
03-09-2018	Topic Modeling with Python
03-26-2018	GitHub Pages
10-03-2018	Introduction to Machine Learning
04-17-2019	Creating Art with Neural Networks
11-01-2019	Introduction to Word Vectors
12-10-2019	Creating Art with Neural Networks
01-23-2020	Text Recognition with Adobe Acrobat & ABBYY Finereader
02-27-2020	Neural Style Transfer with RunwayML
06-02-2020	Guide for Getting Started with Tropy
06-22-2020	Data Visualization with Tableau Public
10-01-2020	First Steps with Python
10-15-2020	Getting Started with Application Programming Interfaces (APIs)
10-22-2020	Intro to HTML Parsing with Python
10-29-2020	Getting Started with Networks
11-05-2020	Classification with Python
12-03-2020	Color Analysis with Python
12-10-2020	Analyzing Image Similarity with Python

DHLab Python for Humanists Series

Sequence Number	Topic
01	First Steps with Python
02	Getting Started with Application Programming Interfaces (APIs)
03	Intro to HTML Parsing with Python
04	Getting Started with Networks
05	Classification with Python
06	Color Analysis with Python
07	Analyzing Image Similarity with Python