PyData Bristol Meetup

Using Numba Effectively Today - Cheuk Ting Ho

Have you ever heard of Numba? It is (mainly) a JIT (Just-In-Time) compiler to make your math-heavy Python code run faster under certain conditions. Most people found all of it is like a mystery - It sounds like magic, but how does it work? Under what conditions does it work? And because of it, new users found it hard to start using it and it requires a steep learning curve to get the hang of it.

This talk requires no prior experience. Through demos, we will explore in what situation Numba works, when it does not and the reason why. We will also look at some cases where we can make Numba works by changing a few things in your code. Hopefully, by the end of the talk, you will have a better understanding of how Numba works before you even start using it. This knowledge can save you some time on try and error, making your experience in using it better.

See more of my talks on YouTube.




After having a career in data science, Cheuk now brings her knowledge in data and passion for the tech community as the developer advocate for Anaconda. Cheuk constantly contributes to the open-source community by giving free talks and tutorials and organize sprints to encourage diversity contributions.