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CO2 Trends with Python

By Paul Prescod 2 hours
Level
Grades 9-12
Subjects
Science and Technology,
Mathematics
components
  • Programming
  • Data
  • Technology and Society
Tools & Languages
Python,
Trinket

Key Coding Concepts

  • Algorithms
  • Conditional Statements
  • Functions
  • Sequences

Terminology

Library

A bundle of reusable code that allows a programmer to achieve something that would otherwise be difficult or impossible. In this case, easy graphics programming.

Function

A list of statements that can be invoked repeatedly in a program, perhaps changing its behaviour on the basis of “parameters” that are passed in.

In this lesson, learners will use Python and the Pygal graphing library to visualize data about one of the most important issues facing our country: greenhouse gas emissions and their relation to climate change.

Before the lesson...

  1. If your learners are new to Python, begin with this Python Code-Along “Intro to Computer Science”: http://bit.ly/teenslc-python-code-along
  2. Show learners how to navigate Trinket, as done in the video above. Demonstrate how to edit and run code. Show learners how to navigate within the course using the arrow keys (top, right).
  3. Guide learners along through the Trinket lesson, or have learners progress at their own pace.
  4. Complete the main activity available at: http://bit.ly/trinket-data-vis-python (also linked in the slides)

  • See “Advanced (Optional) Topics” section of Trinket course for Python extensions.
  • Brainstorm how your class can take action. What can we do to help (A) spread awareness, or (B) help solve this issue?

  • Have learners document at least one bug they encountered and how they solved it using the Debug It! Reflection questions in the Creative Computing Curriculum from the Harvard Graduate School of Education.
  • Make a plan for how to access students’ work in Trinket. You could sign up for Trinket Connect (https://trinket.io/schools) to collect projects, have students email you class links, or gather project links in a shared Google doc or blog.
  • Reflect on what we learned from this data:
    • What stood out?
    • What is something new that we learned?
    • What questions do we still have? 

CO2 Trends with Python - Tutorial
https://go.learningcode.ca/python-co2-trends-tutorial

Pygal Documentation
http://www.pygal.org/en/stable/

Smoke Stacks image by Pixabay from Pexels.com
https://www.pexels.com/photo/smoke-stacks-against-blue-sky-257775/

Debug It! Reflections (Creative Computing Curriculum, Unit 2: Animations, Debug It!)
http://scratched.gse.harvard.edu/guide/curriculum.html

Teach lessons that are tied to your existing curriculum! https://bit.ly/CLClessons

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    Although learning how to build digital projects is a key part of Computer Science education, students should also learn a wider set of skills and competencies that will help them to harness the power of digital technologies as both creators and consumers. A comprehensive approach to K-12 Computer Science education includes learning about the following five focus areas:

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