---
title: Learn Optimization
description: >
    Learn the basics of convex optimization using Python, and
    see how to apply these ideas to vehicle control, portfolio
    allocation in finance, and other areas.
---

You can open and run these notebooks in [molab](https://molab.marimo.io), marimo's free hosted notebook platform.

After working through these notebooks, you'll understand how to create
and solve optimization problems using Python's
[CVXPY](https://github.com/cvxpy/cvxpy) library, as well as how to
apply what you've learned to real-world problems.

## Notebooks

- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/01_least_squares.py) Least Squares
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/02_linear_program.py) Linear Program
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/03_minimum_fuel_optimal_control.py) Minimal Fuel Optimal Control
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/04_quadratic_program.py) Quadratic Program
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/05_portfolio_optimization.py) Portfolio Optimization
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/06_convex_optimization.py) Convex Optimization
- [![Open in molab](https://marimo.io/molab-shield.svg)](https://molab.marimo.io/github/marimo-team/learn/blob/main/optimization/07_sdp.py) Semidefinite Program

![SpaceX](https://www.debugmind.com/wp-content/uploads/2020/01/spacex-1.jpg)

_SpaceX solves convex optimization problems onboard to land its rockets, using CVXGEN, a code generator for quadratic programming developed at Stephen Boyd's Stanford lab. Photo by SpaceX, licensed CC BY-NC 2.0._

## Contributors

Thanks to our notebook authors:

* [Akshay Agrawal](https://github.com/akshayka)