The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

This sponsored post from Intel highlights how today’s enterprises can achieve high levels of parallelism in large scale Python applications using the Intel Distribution for Python with Numba. The ...

Spiffy and convenient as Python is, most everyone who uses the language knows it’s comparatively creaky—orders of magnitude slower than C, Java, or JavaScript for CPU-intensive work. But several ...

In this session, Kundurthy will cover how Data Parallel Python can be used to develop high-performing code for ALCF’s upcoming Auroraexascale supercomputer. The talk will introduce Numba-dppy and show ...

[Jcparkyn] clearly had an interesting topic for their thesis project, and was conscientious enough to write up a chunk of it and release it to the wild. The project in question is a digital pen that ...