We recommend you start here. Learn to write small Python programs that create graphics with PyTamaro. You will practice fundamental programming concepts and techniques:

This curriculum does not include conditional computation (if-statements) or repetitive computation (loops, recursion). These concepts are covered in subsequent curricula. However, even if you already know some Python, we strongly recommend you complete this curriculum first. We promise you will learn quite a few things along the way.

This is the place to go right after you complete the "Welcome to PyTamaro" curriculum! Learn to create and process repetitive data. Learn about lists and loops, about comprehensions, and about the ideas of mapping, filtering, and reducing lists.

Abstraction is one of the most important ideas in programming. In this curriculum you develop your abstraction skills by studying similarities and differences between geometric shapes, and by developing functions that capture the similarities and that have parameters to allow for the differences.

Learn to compose data visualizations from basic ingredients. Not only will you gain a better understanding of the covered visualizations, but you will be able to tweak them in whatever way you like.

A collection of activities about graphics from the Pac-Man game. Start with building graphics for the characters, experiment with repetition and animation, and build tiles for the maze using conditionals like a pro. Prior knowledge of lists and loops is assumed.

How can we encode information to communicate it?

A collection of activities about color models, like RGB, CMY, HSV, and HSL

A collection of activities about signs you can find hiking on Swiss mountain trails.

Many somewhat abstract aspects of mathematics can be made concrete by visualizing them. In this curriculum you gain new insights and deepen your understanding of mathematics by composing your own visualizations of mathematical ideas.

Program your own simple textual language models to gain a first-hand understanding of "Generative AI" concepts (model training, inference, parameters, and ethical aspects). The activities require familiarity with basic Python constructs, including dictionaries.