In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances.. Modern hardware is multi-core. It is crucial for Python to ...

Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting ...

I'm wondering if anyone has any recommendations for good resources to learn parallel/concurrent/multicore programming. I know this is a pretty damn vague question, so bear with me. I've been a ...

In this context, there is some good news for parallel programming. Data analysis software parallelizes fairly naturally. ... Python and Perl. In addition to its familiar syntax, MapReduce allows ...

The majority of parallel application prototypes, 65 percent, are developed in very high level languages (VHLLs) such as MATLAB, Mathematica, Python, and R. And while C and Fortran are frequently used ...

Guido van Rossum, who created popular programming language Python 30 years ago, has outlined his ambitions to make it twice as fast – addressing a key weakness of Python compared to faster ...