Final Project Resources

1. Python and Command Line Fundamentals

   • Introduction to command line, resources for using the shell, and command line cheatsheet
   • Setting up a virtual environment

   • Ian Milligan and James Baker, “Introduction to the Bash Command Line,” The Programming Historian 3 (2014), https://programminghistorian.org/en/lessons/intro-to-bash.

   • Introduction to Python and additional introduction
   • Python cheatsheet of data structures
   • Python data flows and dh tools example
   • Introduction to Python Classes and classes example

2. Web Scraping, HTML, and HTTPS

   • Introduction to the html and web scraping
   • In class example of BeautifulSoup and example of requests
   • Introduction to HTTPS
   • Jeri Wieringa, “Intro to Beautiful Soup,” The Programming Historian 1 (2012), https://programminghistorian.org/en/lessons/intro-to-beautiful-soup

3. Pandas and EDA

   • Introduction to Pandas and accompanying notebook. Also intro to Jupyter notebook and notebook shortcuts
   • Advanced Pandas resources and pandas web scraping notebook
   • Introduction to cleaning data and EDA
   • Wes McKinney. Python for Data Analysis. 2017. Chapters 2, 5 (Available online through the Princeton Library)

4. Text Analysis

   • Introduction to text analysis and introduction to spacy, along with class notebook
   • Identify NER script example
   • Matt Lavin “Analyzing Documents with TF-IDF” https://programminghistorian.org/en/lessons/analyzing-documents-with-tfidf
   • Zoë Wilkinson Saldaña “Sentiment Analysis for Exploratory Data Analysis” https://programminghistorian.org/en/lessons/sentiment-analysis
   • François Dominic Laramée “Introduction to stylometry with Python” https://programminghistorian.org/en/lessons/introduction-to-stylometry-with-python

5. Data Visualizations and Publishing Charts

   • Introduction to Altair and notebook, along with class exercises
   • Publishing Altair charts