![]() The sleep function suspends execution of t. Python wait () method is defined as a method for making the running process to wait for the other process like child process to complete the execution and then resume the process of the parent class or event. Python has a module named time which provides several useful functions to handle time-related tasks. There may be another way around this problem some type of work around, so don't give up hope yet. What is the sleep function in Python The sleep function suspends (waits) execution of the current thread for a given number of seconds. I've worked on a simular problem to yours so I investigated threads but found this limiting factor (only one thread working at one time) halted all progress. It pauses the execution for a given number of seconds and can take floating-point numbers. either take time.structtime object as an argument or return it. Several functions in the time module such as gmtime(), asctime() etc. But from what I can gather about your post, is that you want two independant threads working simultaneously which is impossible with Python because as I've said Python does not support multiple threading simultaneously. In Python, Sleep() function is used to delay program execution. Before we talk about other time-related functions, lets explore time.structtime class in brief. It is really very simple and straight-forward. There is also another function the Queue() function which places each thread in line one after the other. Using the sleep function in Python 2 and Python 3 is exactly the same, so you won’t need to worry about which version of Python your code is running on. If you were to do one thread at a time you would need to put a Global Lock on each performing thread and then after each thread has done it's job you then have to unlock that thread so another thread can take over. Python does not support multiple threads, unlike Java etc. select() allows a program to wait (by looping, indeed) until some file descriptors are ready for I/O operations, with an optional timeout. My understanding of threads in Python is that only one thread at one time can perfom a particular job.
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