Class 7 Outline

  1. Selenium for Webbrowser and Scraping Javascript
  2. CSV and Pandas
  3. JSON

1. Selenium for Webbrowser and Scraping Javascript


How to deal with pages with Javascript-generated content, like this webpage.
See here for the notebook.

2. CSV and Pandas

For the Names Dataset, we previously opened and analyzed comma-separated values using read-split-select. For more complex csv files, we can use one of the 2 following modules designed specifically for csv's.

csv module

  • csv.reader()
  • csv.DictReader()

Pandas

  • Pandas.read_csv(filename)
  • We will learn lots more about Pandas later.

Click here for an example using Pandas.

3. JSON

Click here for JSON notebook.