A team of computer scientists recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in ...

Those computing tasks depend on linear algebra, where manipulation of multi-dimensional arrays, known as tensors, is paramount. Also: Python programming language: Here's what's new in version 3.9 RC2 ...

I added NumPy (think “numbers” and “Python” — a package for numerical/scientific computing in Python) plus python-devel and python-numpy, downloaded the code from the end of that ...

This leads to simplified scaling of analytics and machine learning code written in Python, allowing users to solve larger and more complex data problems. Ray is a fast and simple distributed computing ...

As computers become more and more powerful, scientific computing is becoming a more important part of fundamental research into how our world works. We can do more now than we could even imagine just ...

Math and scientific computing thrive when you can make use of the full resources available on a given machine, especially multiple cores. Both Python and Julia can run operations in parallel.

That’s where the concept of intermittent computing comes into play, and now thanks to the BFree project, you can develop Python software that persists even when the hardware goes black.

Using Python in HPCSetting up a Python virtual environment: venv The alternative to Conda style python environments is to use Python's virtual environment approach. There is an environment module on ...

Pierre Glaser from INRIA gave this talk at EuroPython 2019. "Modern hardware is multi-core. It is crucial for Python to provide high-performance parallelism. This talk will expose to both ...

Posted in Software Hacks Tagged python, quantum, quantum computing ← Bringing Guitar Synthesis To The Microcontroller 1920’s Claratone Radio Runs Windows 10 → ...