Creating and Running Multiple Tasks
When you want to run multiple operations at the same time in Python, you can use the asyncio.create_task function. This function lets you schedule several coroutines to run concurrently, instead of waiting for each one to finish before starting the next. Running tasks concurrently is useful when you have independent operations that spend time waiting, such as network requests or timers. By creating tasks for each operation, you allow the event loop to switch between them, making your program more efficient and responsive.
12345678910111213import asyncio async def greet(name): await asyncio.sleep(1) print(f"Hello, {name}!") async def main(): task1 = asyncio.create_task(greet("Alice")) task2 = asyncio.create_task(greet("Bob")) await task1 await task2 await main()
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Creating and Running Multiple Tasks
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When you want to run multiple operations at the same time in Python, you can use the asyncio.create_task function. This function lets you schedule several coroutines to run concurrently, instead of waiting for each one to finish before starting the next. Running tasks concurrently is useful when you have independent operations that spend time waiting, such as network requests or timers. By creating tasks for each operation, you allow the event loop to switch between them, making your program more efficient and responsive.
12345678910111213import asyncio async def greet(name): await asyncio.sleep(1) print(f"Hello, {name}!") async def main(): task1 = asyncio.create_task(greet("Alice")) task2 = asyncio.create_task(greet("Bob")) await task1 await task2 await main()
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