What is the difference between synchronous and asynchronous programming in Python?

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Synchronous and asynchronous programming in Python differ primarily in how tasks are executed and managed.

Synchronous programming means that tasks are executed one after another. When a function is called, it runs to completion before returning control to the next line of code. This approach is simple and predictable, but it can be inefficient when dealing with time-consuming operations like I/O (e.g., reading files or making network requests). In synchronous programming, if a task is waiting for an external resource (like a database query), the entire program halts until the task is complete.

Asynchronous programming allows tasks to run concurrently without blocking each other. With asynchronous programming, tasks that involve waiting (like I/O operations) can be paused while other tasks continue to execute. This is achieved using async and await keywords, and it enables better resource utilization, especially in I/O-bound applications.

In asynchronous programming, tasks can be paused (with await) and resumed without blocking the rest of the program, leading to improved performance in applications with many I/O-bound operations. However, asynchronous programming can be more complex due to the need for event loops and careful management of concurrent tasks.

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