Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

In this session, we'll uncover the potential of Numba for high-performance computing in Python with just a single line of extra code! By focusing on Numba's powerful jit and guvectorize functions, we'll start with a general overview and then dive into real-world applications and examples. Learn how to optimize computational tasks and elevate your Python code to new levels of efficiency and speed with minimal effort.