Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction. Python is not the fastest language, but lack of speed hasn’t ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network. Over the past few months, the use of the Python programming ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

As a system and application engineer, I’ve saved countless hours by automating measurements with software such as LabVIEW. Although I’ve used it to build measurement applications, I’ve started to ...

Asked on Twitter why a paper is coming out now, 15 years after NumPy's creation, Stefan van der Walt of the University of California at Berkeley's Institute for Data Science, one of the article's ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and was ...

[153Armstrong] did a short post on how easy it is to generate waveforms using Python. We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in ...