Exception event loop is closed with aiohttp and asyncio in python 3 8
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Certainly! The combination of aiohttp and asyncio in Python is commonly used for handling asynchronous HTTP requests. When working with these libraries, you may encounter the "RuntimeError: Event loop is closed" exception. This error typically occurs when trying to perform asynchronous operations after the event loop has been closed.
In this tutorial, we'll explore how to handle the "Event loop is closed" exception when using aiohttp and asyncio in Python 3.8. We'll cover the basics of asynchronous programming, demonstrate a simple example using aiohttp, and show you how to properly handle the event loop to avoid encountering this common error.
Make sure you have Python 3.8 or later installed on your system.
Install the required libraries using the following commands:
Asynchronous programming in Python allows you to write non-blocking code, enabling you to perform multiple tasks concurrently. The asyncio library provides support for managing asynchronous tasks, and aiohttp is a popular library for making asynchronous HTTP requests.
Let's start with a simple example of making asynchronous HTTP requests using aiohttp. We'll create a script that fetches data from multiple URLs concurrently.
Now, let's discuss how to handle the "Event loop is closed" exception. One common mistake is trying to reuse the event loop after it has been closed. To avoid this, use the loop argument when creating the ClientSession in aiohttp:
And when calling the asynchronous function, pass the event loop to it:
By explicitly passing the event loop to the ClientSession, you ensure that the session uses the correct event loop even if the global event loop changes.
In this tutorial, we've covered the basics of handling the "Event loop is closed" exception when using aiohttp and asyncio in Python 3.8. By explicitly passing the event loop when creating the ClientSession, you can avoid encountering this common error. Remember to always handle the event loop appropriately to ensure the smooth execution of your asynchronous code.
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