Elevate Your Code in One Line: Boosting Python Performance with Numba
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.
Date:
21 November 2023, 12:00
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar room 1
Speaker:
Ao Zhang (University of Oxford)
Organising department:
Big Data Institute (NDPH)
Organisers:
Adam Huffman (University of Oxford),
Sumeeta Maheshwari (University of Oxford),
Jerome Kelleher (BDI)
Organiser contact email address:
sumeeta.maheshwari@ndph.ox.ac.uk
Part of:
Code Monkeys@BDI
Booking required?:
Not required
Cost:
free
Audience:
Members of the University only
Editor:
Sumeeta Maheshwari
