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Asyncio Event Loop

The asyncio event loop is a core component of the asyncio module in Python, which facilitates asynchronous programming. It acts as the central hub for managing and executing asynchronous tasks, allowing for non-blocking operations. This is particularly useful in applications that require handling multiple tasks concurrently, such as web servers or applications that need to manage I/O-bound operations efficiently.

The event loop operates by scheduling and executing coroutines, which are special functions that can pause and resume their execution. This allows the program to handle other tasks while waiting for I/O operations to complete, thus improving performance and responsiveness. The event loop can run indefinitely, processing events until it is explicitly stopped or terminated ¹².

In addition, the event loop can be run in separate threads, enabling the execution of multiple event loops concurrently. This capability allows for scaling applications to handle numerous coroutines simultaneously, which is beneficial for high-performance applications ³⁵.

Asyncio Run Event Loop Forever

Super Fast Python

We can run an asyncio event loop “forever”, until explicitly stopped or killed. This is required in many applications that offer a service, accept client connections, or perform long-term event handli...

What is the Asyncio Event Loop

Super Fast Python

The heart of asyncio programs is the event loop. In this tutorial, you will discover how to use the asyncio event loop in Python. Let’s get started. What is the Asyncio Event Loop Asyncio refers to th...

Asyncio Event Loop in Separate Thread

Super Fast Python

We can run an asyncio event loop in a new thread by starting a new thread and configuring it to start or run an event loop. There are many approaches we can use to run an event loop in a new thread. T...

AsyncIO and the Event Loop Explained

ArjanCodes

Over the years, I’ve produced several videos about AsyncIO. Today, however, I’m adopting a new approach where I explain the event loop in depth. I’ll delve deeper into asynchronous programming, focusi...

Asyncio Run Multiple Concurrent Event Loops

Super Fast Python

We can run multiple concurrent asyncio event loops by starting and running each new event loop in a separate thread. Each thread can host and manage one event loop. This means we can start one thread ...

How to Exit the Asyncio Event Loop

Super Fast Python

You can exit the asyncio event loop by returning from the main coroutine used as the entry point for the asyncio program. In this tutorial, you will discover how to exit the asyncio event loop in Pyth...

Asyncio Event Loop Exception Handler

Super Fast Python

We can configure a custom asyncio event loop exception handler via the asyncio.get_running_loop() method. By default, unhandled exceptions in asyncio programs cause the event loop to emit a warning an...

How to Use an Asyncio Event in Python

Super Fast Python

You can notify asyncio coroutines using an asyncio.Event. In this tutorial, you will discover how to use an asyncio event in Python. Let’s get started. What is an Asyncio Event An event provides a way...

How to Avoid Issues When Waiting On Multiple Events in Python Asyncio

Python in Plain English

Asyncio is a powerful way to implement multitasking in Python but failing to use it properly can lead to poor code performance.

Understanding AsyncIO in Python: Asynchronous Programming and the Event Loop

The Pythoneers

Introduction Have you ever found yourself waiting endlessly for your code to finish processing an API request or reading a file? In a world where efficiency is key, nobody wants to wait longer than ne...

What is asyncio.sleep(0)

Super Fast Python

You can force the current asyncio task to suspend using asyncio.sleep(0). This gives an opportunity for all other scheduled tasks in the event loop to run until their next point of suspension. This al...

Achieving asynchronous behavior using asyncio in Python

Level Up Coding

A lot has changed since I last published my post on handling long-running async tasks in Python using celery. Last time we used it to run a few async tasks to fetch data from some service which took…