Interactive Python Learning with marimo

Explore our collection of interactive notebooks for Python, data science, and machine learning.

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Why Learn with Marimo?

Interactive Learning

Learn by doing with interactive notebooks that run directly in your browser.

Practical Examples

Real-world examples and applications to reinforce your understanding.

Comprehensive Curriculum

From Python basics to advanced machine learning concepts.

Explore Our Courses

Learn Functional Programming

🚧 This collection is a work in progress.

1 notebooks:
  1. Functors

Learn optimization

This collection of marimo notebooks teaches you the basics of convex optimization.

7 notebooks:
  1. Least Squares
  2. Linear Program
  3. Minimum Fuel Optimal Control
  4. Quadratic Program
  5. Portfolio Optimization
  6. Convex Optimization
  7. Sdp

Learn Polars

🚧 This collection is a work in progress. Please help us add notebooks!

5 notebooks:
  1. Why Polars
  2. Basic Operations
  3. Strings
  4. Aggregations
  5. User Defined Functions

Learn probability

🚧 This collection is a work in progress. Check back later for new noteboks.

17 notebooks:
  1. Sets
  2. Axioms
  3. Probability Of Or
  4. Conditional Probability
  5. Independence
  6. Probability Of And
  7. Law Of Total Probability
  8. Bayes Theorem
  9. Random Variables
  10. Probability Mass Function
  11. Expectation
  12. Variance
  13. Bernoulli Distribution
  14. Binomial Distribution
  15. Poisson Distribution
  16. Continuous Distribution
  17. Normal Distribution

Learn Python

This collection of marimo notebooks is designed to teach you the basics of the Python programming language.

10 notebooks:
  1. Numbers
  2. Strings
  3. Collections
  4. Conditional Logic
  5. Loops
  6. Dictionaries
  7. Advanced Collections
  8. Functions
  9. Modules
  10. Exceptions

Want to Contribute?

Help us improve these learning materials by contributing to the GitHub repository. We welcome new content, bug fixes, and improvements!

Contribute on GitHub