Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The Array API standard makes it possible to write generic code that works with many types of arrays (NumPy, Tensorflow, PyTorch, Dask, JAX, CuPy, MXNet, Xarray, ...). In principle, this would enable a ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible. Sometime in the fall of 2021, Andrew ...

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 ...

would it be (in principle) possible to use numpy.array_api instead of numpy as array backend for the generated python code? Note that numpy.array_api is a reference implementation of the array API ...

Memory safety issues are one of the leading causes of security vulnerabilities in computing systems, including embedded systems. In programming languages like C/C++, developers are expected to manage ...

Now you can have Cython’s speed boost without its cumbersome syntax, using the pure Python syntax you know and love. Cython has long been one of the great secret weapons of Python performance, letting ...