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 ...

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 ...

Python is increasingly used in high-performance computing projects. It can be used either as a high-level interface to existing HPC applications and libraries, as embedded interpreter, or directly.

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 ...

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

Ubuntu: The Ubuntu 22.04 LTS (Jammy Jellyfish) running in CSIL comes with Python 3 by default. Ubuntu 22 includes the built-in venv Python module. This venv module is used to create virtual ...

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.

Python™ Support from Measurement Computing September 08, 2020 03:00 PM Eastern Daylight Time ...