Category: multiprocessing

Problem

Parallelize CPU work across processes.

Solution 

  with Pool(4) as p:
    results = p.map(process, items)

Notes

  • Adapt variable names and paths to your project
  • Add error handling for production use
  • See related chapters in the Learning Path