07-11, 08:00–12:00 (America/Chicago), Classroom 103
In this workshop, we will introduce Numba - a JIT compiler that is designed to speed up numerical calculations. 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 workshop will provide all the knowledge that you need to make Numba works for you.
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 to be 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 workshop requires no prior experience. However, it will be most beneficial to those who are working with numerical data, like data scientists and researchers. We also expect participants have no knowledge of how compilers work and not much understanding of how CPython works. Through exercises, 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 finishing the workshop, 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.
What Attendees will Learn
By the end of the workshop, you will have some understanding of what Numba is and how it speeds up your Python code. You will also have a better idea about the limitation of Numba and when it does not help. You may also know how to change your code to make it benefit from the speeding up of Numba. You will also learn some troubleshooting skills and where to look for help if got stuck in the future.
For whom is your Workshop
Data scientists or developers who have math-heavy code that would like to speed up with the benefit of Numpy and Numba.
What is required from attendees
- A computer with a stable internet connection (useful to look up information);
- Python 3.8 or above;
- Jupyter and Numba installed (detail about Python libraries required will be announced later);
- An open mind and ready to learn something new
Before working in Developer Relations, Cheuk has been a Data Scientist in various companies which demands high numerical and programmatical skills, especially in Python. To follow her passion for the tech community, Cheuk is now working with the open-source community. Cheuk also contributes to multiple Open Source libraries like Hypothesis, Django and Pandas.
Besides her work, Cheuk enjoys talking about Python on personal streaming platforms and podcasts. Cheuk has also been a speaker at Universities and various conferences. Besides speaking at conferences, Cheuk also organises events for developers. Conferences that Cheuk has organized include EuroPython (which she is a board member), PyData Global and Pyjamas Conf. Believing in Tech Diversity and Inclusion, Cheuk constantly organizes workshops and mentored sprints for minority groups. In 2021, Cheuk has become a Python Software Foundation fellow.