How to use task groups in python 3 11 new feature!

Опубликовано: 13 Март 2025
на канале: CodeNode

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in python 3.11, `task groups` were introduced as a new feature in the `asyncio` module. task groups provide a structured way to manage and run multiple asynchronous tasks concurrently, allowing for better error handling and easier management of task lifecycles.

overview of task groups

task groups help in organizing tasks that can run concurrently while ensuring that you can handle exceptions raised by any of the tasks. this is particularly useful in scenarios where you want to run several asynchronous operations and wait for their completion, while also being able to handle any errors that may occur.

key features
**structured concurrency**: ensures that tasks are properly awaited and cleaned up.
**error propagation**: if a task fails, the task group can raise that exception, allowing you to handle it in a centralized manner.
**cancellation handling**: if a task group is canceled, all tasks within it are also canceled.

using task groups

to use task groups in python 3.11, you will primarily work with the `asyncio.taskgroup` class. below is a step-by-step tutorial with code examples to illustrate how to use task groups effectively.

step 1: import required modules

first, you need to import the necessary modules from `asyncio`.

step 2: define asynchronous functions

next, define some asynchronous functions that you want to run concurrently. for demonstration purposes, let's create a couple of functions that simulate asynchronous work.

step 3: create a task group

now, create a main function that will use a task group to run these tasks concurrently.

step 4: handle exceptions

when using task groups, you can catch exceptions raised by any of the tasks after the task group context exits. here's how you can modify the `main` function to handle exceptions.

step 5: run the event loop

finally, you can run the event loop to execute the `main` function.

complete example

here's the complete code for the example:

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