performance – Real-time interrupts in Python

performance – Real-time interrupts in Python

If a single event is to be handled, then the easiest way is to use the signal framework which is a standard module of Python.

However, if we need a fully-fledged scheduler, then we have to resort to another module: sched. Here is a pointer to the official documentation. Please be aware, though, that in multi-threaded environments sched has limitations with respect to thread-safety.

Another option is the Advanced Python Scheduler, which is not part of the standard distribution.

You cant get real-time without special hardware/software support. You dont need it in most cases (do you need to control giant robots?).

How to delay several function calls by known numbers of seconds depends on your needs e.g., if a time it takes to run a function is negligible compared to the delay between the calls then you could run all functions in a single thread:

#!/usr/bin/env python
from __future__ import print_function
from Tkinter import Tk

root = Tk()
root.withdraw() # dont show the GUI window
root.after(1000, print, foo) # print foo in a second
root.after(0, print, bar) # print bar in a jiffy
root.after(2000, root.destroy) # exit mainloop in 2 seconds

It implements yours I do not want the interrupts to interrupt each other either because the next callback is not called until the previous one is complete.

performance – Real-time interrupts in Python

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