![]() Proc = Process(target=print_func, args=(name,)) Proc = Process(target=print_func) # instantiating without any argument If _name_ = "_main_": # confirms that the code is under main function Print('The name of continent is : ', continent) The following code will be helpful to understand the usage of Process class. One important thing is, if you want to pass any argument through the process you need to use args keyword argument. So if you create many processes and don’t terminate them, you may face scarcity of resources. Without join() function call, process will remain idle and won’t terminate. After that we tell the process to complete via join() function. Then, the process will run and return its result. If we create a process object, nothing will happen until we tell it to start processing via start() function. Then, we need to instantiate a process object. There are two important functions that belongs to the Process class – start() and join() function.Īt first, we need to write a function, that will be run by the process. Python multiprocessing Process class is an abstraction that sets up another Python process, provides it to run code and a way for the parent application to control execution. The following output may vary for your pc. Print("Number of cpu : ", multiprocessing.cpu_count()) The following simple code will print the number of cores in your pc. Python Multiprocessing module enables you to know that. To make a parallel program useful, you have to know how many cores are there in you pc. These classes will help you to build a parallel program.īut before describing about those, let us initiate this topic with simple code. Among them, three basic classes are Process, Queue and Lock. There are plenty of classes in python multiprocessing module for building a parallel program. Python Multiprocessing Process, Queue and Locks After reading this article, we hope that, you would be able to gather some knowledge on this topic. To understand the main motivation of this module, we have to know some basics about parallel programming. Python introduced multiprocessing module to let us write parallel code. If you still don’t know about the parallel processing, learn from wikipedia.Īs CPU manufacturers start adding more and more cores to their processors, creating parallel code is a great way to improve performance. Parallel processing is getting more attention nowadays. In this tutorial we are going to learn Python Multiprocessing with examples. In our previous tutorial, we learned about Python CSV Example.
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