The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...

A study conducted by the Institute of Electrical and Electronics Engineers (IEEE) put Python at the top of the list of favorite languages among such contenders as Java, JavaScript, C++, and Go.

I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

From these low-level interfaces emerged higher-level parallel processing libraries, such as concurrent.futures, joblib and loky (used by dask and scikit-learn) These libraries make it easy for Python ...

This month, I give a crash course in parallel programming so you can get a feel for what is involved. There are two broad categories of parallel programs: shared memory and message passing.

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems ...