PyNoon Lessons

PyNoon is run as a series of three 3-4 week courses. You can choose to attend the courses that match your interests and skill level:

1. PyNoon Starter: Learn the fundamentals of the Python language - no prior programming experience required!
2. PyNoon Data: Learn to use Python to analyse and plot tabular data (e.g. spreadsheets)
3. PyNoon Plus: Advanced topics, from calling web APIs to using AI models

Each week’s lesson comprises:

• A 15 minute presentation during lunch
• A 30 minute hands-on coding tutorial
• Homework exercises and independent coursework from futurecoder.io

PyNoon Starter Lessons

• Lesson
  Presentation
  Tutorial
  FutureCoder
  Course Material
• starter-1
  About the course
  The Python console, scripts, notebooks, basic maths
  The Shell, String Basics, Variables
  • Intro Slides
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• starter-2
  Data types
  Variables, indexing and slicing
  For loops
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• starter-3
  Using built-in functions
  Lists and dictionaries
  If statements
  • Slides
  • Tutorial Notebook
  • Exercise Notebook

PyNoon Data Lessons

• Lesson
  Presentation
  Tutorial
  FutureCoder
  Course Material
• data-1
  About the course and using libraries
  Loading and exploring tabular data with Pandas, intro to Plotly
  Lists
  • Intro Slides
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• data-2
  Comparison operators
  Filtering rows in Pandas, computing new columns in Pandas
  A bit more about strings, nested loops
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• data-3
  Intro to Software Design
  Grouping and summarising data in Pandas and Plotly
  Functions
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• data-4
  DRY: Don't Repeat Yourself
  Defining and using your own functions, reducing duplication in your code
  Dictionaries
  • Slides
  • Tutorial Notebook
  • Exercise Notebook

PyNoon Plus Lessons

• Lesson
  Presentation
  Tutorial
  FutureCoder
  Course Material
• plus-1
  About the course and AI-assisted programming
  Using AI models from Python, loading data from a text file to construct a DataFrame
  Boolean operators
  • Intro Slides
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• plus-2
  Web APIs
  Retrieving data from a web API
  Tic Tac Toe Project
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• plus-3
  About the course and Deploying Python Code
  Building user interfaces in Jupyter notebooks, deploying a notebook as an HTML file
  N/A
  • Slides
  • Tutorial Notebook
  • Exercise Notebook
• plus-4
  What Next? (interesting topics for further learning)
  N/A
  N/A
  • Slides

Course Resources

Data Resources

Some PyNoon lessons make use of the following data resources:

• inside_airbnb_listings_nz_2023_09.csv
  • listings_df = pd.read_csv('http://pynoon.github.io/data/inside_airbnb_listings_nz_2023_09.csv')
  • Provided under a Creative Commons Attribution 4.0 International License by Inside AirBnB.
  • Learn more about what column from the Data Dictionary.

Additional Resources

PyNoon lessons make use of material from these sources:

• Plotting and Programming in Python by Software Carpentry
• Futurecoder tutorials on Python fundamentals

Instructors can find speaker notes and more in the full course material listing.