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 ...

If you happen to do a lot of video encoding, you know that your computer can really drag while the process is carried out. Our own [Mike Szczys] transcodes videos at home fairly often, and because the ...

Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science. But what ...

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 ...