Instead, Python achieves thread safety by allowing only one thread to access an object at a time. This is the purpose of the GIL. Many projects over the years have attempted to remove the GIL.

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 ...

In technology circles, parallelism is also often called concurrency. It is the computing construct that allows a microprocessor to drive two (or more) separate processes at the same time.

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 ...

Concurrent and parallel systems form the bedrock of modern computational infrastructures, enabling vast improvements in processing speed, efficiency and scalability. By orchestrating multiple ...

The just-released Python 3.2 beta shows the language being tweaked for parallel programming ...