Python: Pass or Sleep for long running processes?

by

I would imagine time.sleep() will have less overhead on the system. Using pass will cause the loop to immediately re-evaluate and peg the CPU, whereas using time.sleep will allow the execution to be temporarily suspended.

EDIT: just to prove the point, if you launch the python interpreter and run this: 

>>> while True:
...     pass
...

You can watch Python start eating up 90-100% CPU instantly, versus: 

>>> import time 
>>> while True:
...     time.sleep(1)
...

Which barely even registers on the Activity Monitor (using OS X here but it should be the same for every platform).

More Related Contents:

  1. Why am getting an "elif" syntax error showing invalid syntax in python [closed]
  2. Empty string python zapier
  3. Why is the id of a Python class not unique when called quickly?
  4. Different behaviour for list.__iadd__ and list.__add__
  5. How do I trim whitespace?
  6. How to expand a list to function arguments in Python [duplicate]
  7. Pandas groupby cumulative sum
  8. Extract a page from a pdf as a jpeg
  9. Pandas DataFrame concat vs append
  10. Pipe subprocess standard output to a variable [duplicate]
  11. What is the g object in this Flask code?
  12. What is the reason for having ‘//’ in Python? [duplicate]
  13. PIL cannot identify image file for io.BytesIO object
  14. selenium.common.exceptions.SessionNotCreatedException: Message: Unable to find a matching set of capabilities with Firefox 46 through Selenium
  15. Getting gradient of model output w.r.t weights using Keras
  16. requests: how to disable / bypass proxy
  17. Dynamic loading of python modules
  18. DeprecationWarning: use options instead of chrome_options error using ChromeDriver and Chrome through Selenium on Windows 10 system
  19. Python: How to show matplotlib in flask [duplicate]
  20. NAO robot remote audio problems
  21. Seaborn ValueError: zero-size array to reduction operation minimum which has no identity
  22. What does *tuple and **dict mean in Python? [duplicate]
  23. fit-transform on training data and transform on test data [duplicate]
  24. Add button components to a message (discord.py)
  25. How can I access “static” class variables within methods?
  26. How do I reverse a string in Python?
  27. Platform-independent file paths?
  28. Is making in-place operations return the object a bad idea?
  29. C++ conversion from NumPy array to Mat (OpenCV)
  30. How do you change the value of one attribute by changing the value of another? (dependent attributes)

Leave a Comment