Easy Python Parallelism using Ray (2nd Wed Talk)

In this talk, we will explore the Ray library and how it can be used to easily parallelize Python code. We will cover the basics of using Ray Core, including installation, spinning up a local Ray cluster, and running remote actors and tasks.

We will also discuss some real-world examples of using Ray Core in practice, including optimizing the performance of pi estimation and using multiple web scrapers in parallel. Additionally, we'll touch on some advanced topics such as distributed computing on AWS and explore other offerings by the Ray package.

By the end of this talk, you will have a solid understanding of how to use Ray for efficient parallel processing in your own Python applications.

Also, we're going to have another "after hour." After the presentation is over, anyone who wants to stay and do a bit of coding or chatting is welcome to hang out. Think of it like a mini open workshop.