Multithreading in Python is a way of achieving multitasking in python using the concept of threads. A thread is a component of any process managed by the operating system. The OS achieves parallelism or multitasking by dividing the process among threads. It is a lightweight process that ensures a separate flow of
execution. There are quite a few benefits to creating multithreaded applications. Let’s look at some of the benefits here: Let’s move on to creating our first multi-threaded application. For the creation of a thread, we will use the The A thread can be created by the creation of an object of the Thread class. The arguments for this class are as follows:
def print_hi(num): print("Hi, you are customer ",num) t1 = threading.Thread(target=print_square, args=(10,)) The above code snippet invokes the 2. Starting the ThreadThe thread is started by calling the It must be called at most once per thread object. It arranges for the object’s This method will raise a The thread is invoked within a program which is a process by itself. So, during the execution of the thread, the main program continues its execution as well. Hence, we can pause the activity of the main program (run by the main thread) until the completion of the created thread. The illustration of the same is as follows. 3. Join method of Threaddef print_hi(num): print("Hi, you are customer ",num) t1 = threading.Thread(target = print_hi, args=(10,)) t1.start() t1.join() print("End") In the snippet above, the The Hi, you are customer 10 End Without the use of the 4. Synchronizing Threads in PythonThread synchronization is defined as a mechanism to ensure that no two threads execute a particular program segment that accesses shared resources. Such sections of the program are referred to as critical sections. It is necessary to ensure that two threads do not access this resource simultaneously as this can lead to a race condition.
Hence, we use locks in the program that temporarily halt the execution of a program until the lock is released. This is done to ensure that two threads do not access the same variable and cause conflicts. Disadvantages of Multi-threading
Referenceshttps://docs.python.org/3/library/threading.html What are the advantages of multithreading?Threads impose minimal impact on system resources. Threads require less overhead to create, maintain, and manage than a traditional process. Program structure simplification. Threads can be used to simplify the structure of complex applications, such as server-class and multimedia applications.
What are the advantages and disadvantages of multithreading in Python?The primary function of multithreading is to simultaneously run or execute multiple tasks.. Complex debugging and testing processes.. Overhead switching of context.. Increased potential for deadlock occurrence.. Increased difficulty level in writing a program.. Unpredictable results.. Is Python good for multi threading?Python doesn't support multi-threading because Python on the Cpython interpreter does not support true multi-core execution via multithreading. However, Python does have a threading library. The GIL does not prevent threading.
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