How Can I Implement Continuous Function Execution in Python While Avoiding Thread Blocking?

Implementing Continuous Function Execution in Python

For tasks that require continuous execution at specified intervals, Python provides various options. One straightforward approach involves utilizing a simple loop in conjunction with the time module's sleep() function:

while True:
    # Code executed here
    time.sleep(60)

While this code appears to achieve the desired result, there are potential drawbacks to consider. Specifically, when the executed code blocks the main thread, it can prevent the scheduled function from running on time.

Alternative Solutions

For more robust and flexible scheduling, consider the sched module, which provides a general-purpose event scheduler. By utilizing sched, you can define and control scheduled events, ensuring their timely execution:

import sched, time

def do_something(scheduler):
    # schedule the next call first
    scheduler.enter(60, 1, do_something, (scheduler,))
    print("Doing stuff...")
    # then do your stuff

my_scheduler = sched.scheduler(time.time, time.sleep)
my_scheduler.enter(60, 1, do_something, (my_scheduler,))
my_scheduler.run()

Alternatively, if you employ an event loop library in your program (such as asyncio, trio, tkinter, or PyQt5), leverage its methods to schedule tasks within the existing event loop. This approach ensures optimal coordination and responsiveness in your application.

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