The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

So, I have this little web application I've written in Django. The final step in it's functionality is talking to a REST API, the service on the other side does all of the heavy lifting. Each call ...

Perhaps not. Consider [Tushar Sadhwani] who wanted to create a classic C-style for loop inside of Python. He did it, and the journey is perhaps more interesting than the result.

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 ...

Parallel Domain launches a new Data Lab API that lets users create artificial datasets and control dynamic virtual environments. The start-up aims to be the go-to platform for training AI models ...