python async block

Asynchronous programming is a programming paradigm that allows you to write non-blocking code, which can be more efficient when dealing with tasks that involve waiting for external resources, such as network operations or file I/O. Python introduced the asyncio module to support asynchronous programming, and one of the key features is the use of async and await keywords within an async block.
In traditional synchronous programming, functions execute one after the other, and if one operation takes time (e.g., network request), the whole program waits for it to complete. Asynchronous programming allows other operations to continue while waiting for time-consuming tasks.
In the synchronous example, the program will wait for fetch_data to complete before printing 'Program continues...'. In contrast, an asynchronous approach enables us to perform other tasks while waiting.
In Python, async and await are used to define asynchronous functions and blocks. An asynchronous function is created by adding the async keyword before def. The await keyword is used to pause execution until the awaited coroutine is complete.
async blocks allow the grouping of asynchronous code to be executed together. This can be particularly useful in scenarios where multiple asynchronous tasks need to be coordinated.
In this example, async with asyncio.Task() as task_group creates an asynchronous task group. Tasks task1() and task2() are then created within this group. The program will proceed with other operations while waiting for these tasks to complete.
Understanding and effectively using async and await in Python is essential for writing efficient and responsive asynchronous programs. By leveraging these keywords within async blocks, you can harness the power of asynchronous programming to handle concurrent tasks effectively.
ChatGPT