2. Thread Management: Creation, Termination, and Synchronization

Learning Objectives Define a thread and distinguish it from a process. Write code to create, start, and run a new thread to perform a specific task. Use the 'join' method to make a main thread wait for a child thread to complete its execution. Identify a 'race condition' in a piece of concurrent code. Implement a mutex (lock) to protect a critical section and prevent race conditions. Explain the concept of deadlock and how it can occur. Ever wondered how your computer can stream a video, download a file, and let you chat with friends all at the same time? 🤯 Let's pull back the curtain on the magic of threads! This tutorial explores thread management, the core of concurrent programming. You will learn how to create and manage multiple threads of exe...

TermDefinitionExample ThreadThe smallest unit of execution within a process. A single process can have multiple threads running concurrently, sharing the same memory space.In a word processor, one thread might handle user input (typing), while another thread automatically saves the document in the background. ProcessAn instance of a computer program that is being executed. It has its own private memory space, and can contain one or more threads.When you open Google Chrome, you are starting a process. Each tab you open might run as a separate thread (or even a separate process) within Chrome. Race ConditionAn error that occurs when the behavior of a program depends on the unpredictable sequence or timing of threads. This often happens when multiple threads try to access and modify the same...

Python Thread Creation & Start Syntax import threading thread = threading.Thread(target=function_name, args=(arg1, arg2)) thread.start() Use this pattern to create a new thread. `target` is the function the thread will execute. `args` is a tuple of arguments to pass to that function. `thread.start()` begins the thread's execution. Python Thread Termination (Joining) Pattern thread.join() Call this method from the main (or parent) thread. It will pause the parent thread's execution until the `thread` it is called on has finished its task completely. This is essential for ensuring tasks are completed before the program exits. Python Mutex (Lock) Synchronization Pattern lock = threading.Lock() lock.acquire() # --- Critical Section Start --- # Code that mod...