What are the differences between Python coroutines and threads?
Python coroutines are a way to write asynchronous code using the async/await syntax, while threads are a way to achieve concurrency by running multiple threads in parallel. Coroutines are generally lighter and more efficient for I/O-bound tasks, whereas threads can be more suitable for CPU-bound tasks.
Can you give me an example of how to use coroutines?
Sure! Here's a simple example using the asyncio library:
import asyncio
async def say_hello():
print('Hello')
await asyncio.sleep(1)
print('World!')
asyncio.run(say_hello())
This code defines a coroutine that prints 'Hello', waits for 1 second, and then prints 'World!'.
How do threads work in Python?
Threads in Python can be created using the threading
module. Here's a basic example:
import threading
def print_numbers():
for i in range(5):
print(i)
thread = threading.Thread(target=print_numbers)
thread.start()
thread.join()
This code creates a thread that runs the print_numbers
function.
Which one is better for performance?
It depends on the task. For I/O-bound tasks, coroutines are usually better due to their lightweight nature. For CPU-bound tasks, threads might perform better, but keep in mind Python's Global Interpreter Lock (GIL) can limit their effectiveness.
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