Nov 08: Quiz 5a, Lists of Lists

Learning Objectives

After today's class, you should be able to:

• Describe how any kind of data can be represented with lists and dictionaries.

Announcements

• Chapter 11: Nested Data
• Project 2 (due Nov 14)
  • Part B due Thursday, Nov 9th
  • Part C due Tuesday, Nov 14th

Haiku Debrief

• haiku_checker.py
• Work on projects in VS Code
• Note: Use Thonny on quizzes

Quiz 5a

• Log in as student
• Only two windows:
  1. Thonny
  2. Web browser
• Web traffic monitored
• Log out when finished

Ch11 Preview

• CORGIS
  • Collection of Really Great, Interesting, Situated Datasets
• Example: County Demographics
  • CSV format (nested lists)
  • JSON format (nested dictionaries)
• List comprehensions!
  • Ex: [x ** 2 for x in range(10)]

CSV example:

import csv
from pprint import pprint

data = []
with open("county_demographics.csv") as file:
    reader = csv.reader(file)
    data = [row for row in reader]

pprint(data[0])

JSON example:

import json
from pprint import pprint

with open("county_demographics.json") as file:
    data = json.load(file)

for item in data:
    if item["County"] == "Harrisonburg city":
        pprint(item)