1. Use InterpreterPoolExecutor for isolated parallel workers

In Python 3.14 and later, consider InterpreterPoolExecutor when you want isolated workers without jumping straight to process management.

It gives you a higher-level API that matches the rest of concurrent.futures while taking advantage of subinterpreters as they mature. The main benefit is clearer intent and less custom orchestration code, not that it replaces every process-based workload.

Note

Python 3.14+

1.1. Don’t do this

1from concurrent.futures import ProcessPoolExecutor
2
3with ProcessPoolExecutor() as executor:
4    results = list(executor.map(str.upper, ['a', 'b', 'c']))

1.2. Do this

1from concurrent.futures import InterpreterPoolExecutor
2
3with InterpreterPoolExecutor() as executor:
4    results = list(executor.map(str.upper, ['a', 'b', 'c']))