In this webinar, we'll discuss Numba's extensibility using Intel Scalable Dataframe Compiler project as a case study. Numba is a just-in-time compiler for Python that is designed for scientific, engineering, and data science applications. We will demonstrate the code autovectorization and autoparallelization, new data types such as typed lists and dictionaries, adding support for additional data types, and registering Numba extensions. We will also review best practices for incorporating Numba into a project, and when distributing code.