Answer
Threads share a process and memory; processes have separate memory spaces. • Threads have lower communication overhead but need synchronization around shared state. • Processes provide stronger isolation and can use multiple cores for Python bytecode. • The correct choice depends on I/O, CPU work, state sharing, and deployment cost.
💡 Simple Example
from threading import Thread
from multiprocessing import Process
print(Thread.__name__, Process.__name__)
Output
Thread Process
⚡ Quick Revision
Threads share memory; processes isolate memory and support CPU parallelism.