In this tutorial, you will get a crash course on using Python and other modern tools to analyze satellite datasets which can speed up the learning curve and improve research efficiency. We will cover the basics of the NetCDF and HDF self-describing data formats, display data FAST using Panoply, and demo basic analysis and visualization using Python. Additionally, we share some of the best practices such as using version control and clean coding guidelines. This session will be beneficial for both experienced programmers who want overview of modern tools and also those just getting started with scientific programming. While examples will focus on datasets from the GOES and JPSS programs, the presented tools and techniques are transferable to other scientific datasets and disciplines. No prior experience required. Additional details can be found on the course website (http://www.rebekahesmaili.com/workshop).