2024-07-11 –, South Hall 2B
GraalPy is the fast Python implementation built on GraalVM. We run PyTorch and TensorFlow and ML models from Huggingface.co. We execute the test suites of the top 600 PyPI packages every day and are the most compatible alternative implementation of Python to date. We can JIT pure Python code to the same speed as code rewritten in Cython. We are the most seamless and performant choice for integration with Java in both directions, including Jython compatibility mode.
In this talk, we want to show what's possible today with GraalPy and why you might choose it for your projects: for its performance, integration with Java and other languages, or sandboxing and distribution features.
Beginner
I am a member of the GraalVM team at Oracle Labs. I was led here by my interests in programming languages and virtual machine design, and my involvement with the PyPy/RPython project and various other dynamic language VMs. My work revolves around dynamic language interoperability, connecting them with native C code in a safe manner, and providing cross-language tool support. I also continue to collaborate with the HPI at the University of Potsdam on tools and environments for dynamic languages and polyglot programming.
GraalPy and HPy core developer. Programming languages, virtual machines, and runtimes enthusiast. Surfer in a landlocked country.