---
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.
---

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.

![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)