Valentin Haenel
Valentin is a long-time "Python for Data" user and developer who still
 remembers hearing Travis Oliphant's keynote at the EuroScipy 2007. This was
 during a time where he first became aware of the nascent scientific Python
 stack. He started using Python for simple modeling of spiking neurons and
 evaluation of data from perception experiments during his Masters degree in
 computational neuroscience. Since then he has been active as a contributor
 across more than 75 open source projects. For example, within the Blosc
 ecosystem where he still maintains and contributes to Python-Blosc and
 Bloscpack. Furthermore, he has acquired significant experience as a Git
 trainer and consultant and had published the first German language book about
 the topic in 2011. In 2014 and 2015 he helped kickstart the PyData Berlin
 community alongside a few other volunteers and co-organized the first two
 editions of the PyData Berlin Conference. He now works for Anaconda as a
 software engineer / open source developer on the Numba project.
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Anaconda Inc.
Anaconda Inc.
Anaconda Inc.
Sessions
We'll explain how to do GPU-Accelerated numerical computing from Python using the Numba Python compiler in combination with the CuPy GPU array library.
In this talk I will take you on a whirlwind tour of Numba and you will be quipped with a mental model of how Numba works and what it is good at. At the end, you will be able to decide if Numba could be useful for you.
 
 