Numba is a just-in-time compiler for Python that can significantly speed up numerical and scientific Python code. It works by translating Python functions to optimized machine code at runtime using ...

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 ...

Results of simulation of a valve model with Karnopp friction model (dt = integration time step): Numba is exceptionally good at optimizing the code I had, since I had to do very minor modifications in ...

In this RCE Podcast, Brock Palen and Jeff Squyres discuss the Numba just-in-time compiler with Stanley Seibert from Continuum Analytics. Numba gives you the power to speed up your applications with ...

Abstract: Python as programming language is increasingly gaining importance, especially in data science, scientific, and parallel programming. It is faster and easier to learn than classical ...

“Scaling up the performance of Python applications without having to resort to writing the performance-critical sections in native code can be challenging. Numba is a tool that solves this problem by ...

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 ...