Concurrency/TipsAndTricks

This wiki is in the process of being archived due to lack of usage and the resources necessary to serve it — predominately to bots, crawlers, and LLM companies. Edits are discouraged.
Pages are preserved as they were at the time of archival. For current information, please visit python.org.
If a change to this archive is absolutely needed, requests can be made via the infrastructure@python.org mailing list.

Concurrency Tips & Tricks

Use with statement to manage locks

Starting in Python 2.5, the with statement is a far easier way to manage locks:

   1 some_lock = threading.Lock()
   2 
   3 with some_lock:
   4     do_stuff_requiring_lock()

This is equivalent to:

   1 some_lock = threading.Lock()
   2 
   3 some_lock.acquire():
   4 try:
   5     do_stuff_requiring_lock()
   6 finally:
   7     some_lock.release()

Adjust checkinterval

Increasing the check interval may improve performance for CPU-bound multithreaded programs, at the cost of I/O responsiveness.