Python Asynchronous

Optimizing Python for Asynchronous Programming.

Python - Asynchronous Programming:

Asynchronous programming in Python with 'async' and 'await' revolves around the 'asyncio' library, which provides a framework for writing asynchronous code using coroutines. Coroutines are special functions that can be paused and resumed, allowing for concurrent execution of multiple tasks within a single thread.

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import asyncio

async def example_coroutine(name, delay):
    print(f"{name} started")
    await asyncio.sleep(delay)
    print(f"{name} completed")

async def main():
    task1 = example_coroutine("Task 1", 2)
    task2 = example_coroutine("Task 2", 1)

    await asyncio.gather(task1, task2)

if __name__ == "__main__":
Task 1 started
Task 2 started
Task 2 completed
Task 1 completed

When you run this code, you'll see that both tasks start concurrently, and the second task finishes before the first one due to the shorter delay.

Note: Asynchronous programming with 'async' and 'await' allows you to write non-blocking code, making it particularly useful for I/O-bound operations like network requests or file I/O, where the program spends a lot of time waiting for external events.

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