Jacob Tomlinson
Jacob Tomlinson is a senior software engineer at NVIDIA. His work involves maintaining open source projects including RAPIDS and Dask. He also tinkers with kr8s in his spare time. He lives in Exeter, UK.
Sessions
Many notable PyData projects including Jupyter Hub, Matplotlib and JAX follow a versioning scheme called EffVer, where instead of making promises around backward compatibility they communicate the likelihood and magnitude of the work required to adopt a new version.
In this talk we will dive into EffVer, what it is and what it means for developers and users. We will discuss how to apply EffVer to your own projects and how to depend on projects that use it.
In today’s world of ever-growing data and AI, learning about GPUs has become an essential part of software carpentry, professional development and the education curriculum. However, teaching with GPUs can be challenging, from resource accessibility to managing dependencies and varying knowledge levels.
During this talk we will address these issues by offering practical strategies to promote active learning with GPUs and share our experiences from running numerous Python conference tutorials that leveraged GPUs. Attendees will learn different options to how to provide GPU access, tailor content for different expertise levels, and simplify package management when possible.
If you are an educator, researcher, and/or developer who is interested in teaching or learning about GPU computing with Python, this talk will give you the confidence to teach topics that require GPU acceleration and quickly get your audience up and running.