Seconds, we can do the following: from time import time Let's run it for a short time, let's say 5 Now, when we run the code, there will be no sleep in between one Slightly modify the code that runs in the thread. This is good for applications like the one above, in which itĭoesn't matter which thread adds one to the variable. T2 = Thread(target=modify_variable, args=(my_var, ))Īnd you would see that my_var and its information is shared across all We could, for example, start several threads: t = Thread(target=modify_variable, args=(my_var, )) In the example above, we have started only one thread, but we are To access the same memory space is useful, but it can also pose some Possible thanks to memory sharing between different threads. The information being generated within a child thread. That print statement lives in the main thread, however, it has access to The important piece of code in this example is the print(my_var) line. Graciously finish the thread, if you are not familiar with them, check The thread will increase the values of the numbersīy one, with a certain delay. We start a new thread by passing an argument, my_var, which The example above is almost trivial, but it has a very importantįeature. T = Thread(target=modify_variable, args=(my_var, )) Let's see how we can use shared memory through a very simple example: from threading import Thread, Event We have already used this feature in the previous tutorial, but without discussing it explicitly. The first and most naive approach is to use the same variables in different threads. In the previous article, we have covered how to start and synchronize threads and now it is time to expand the toolbox to handle the exchange of information between them. However, some structures can help you achieve more specific goals. One of the advantages of threads in Python is that they share the same memory space, and thus exchanging information is relatively easy. When working with threads in Python, you will find very useful to be able to share data between different tasks.
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