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42 lines
1.4 KiB
Markdown
42 lines
1.4 KiB
Markdown
## Part 2: Asynchronous Programming with asyncio
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In this section, we'll dive into asynchronous programming using the asyncio module, enabling concurrent execution without relying on multiple threads.
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### 1. Introduction to Asynchronous Programming
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Asynchronous programming allows non-blocking execution of tasks, making efficient use of system resources. The asyncio module provides a framework for working with asynchronous operations. In this simple example, we define an asynchronous function main that prints "Hello," waits for a second using await asyncio.sleep(1), and then prints "World."
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```python
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import asyncio
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async def main():
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print("Hello")
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await asyncio.sleep(1)
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print("World")
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asyncio.run(main())
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```
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### 2. Getting Started with asyncio
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To work with asyncio, we can use the async and await keywords. In this example, we define an asynchronous function fetch_data that simulates fetching data from a URL asynchronously. The asyncio.gather function is used to run multiple asynchronous tasks concurrently and gather their results.
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```python
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import asyncio
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async def fetch_data(url):
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# Simulate fetching data from a URL
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await asyncio.sleep(2)
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return f"Data from {url}"
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async def main():
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tasks = [fetch_data("url1"), fetch_data("url2"), fetch_data("url3")]
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results = await asyncio.gather(*tasks)
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print(results)
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asyncio.run(main())
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```
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[Continue to Part 3: Parallelism with multiprocessing](multiprocessing.md) |