Python Asyncio Tutorial: A Complete Guide

Python's asyncio library is designed for writing single-threaded concurrent code using coroutines, multiplexing I/O access over sockets and other resources, running network clients and servers, and other related primitives. It provides a high-level API to write asynchronous applications in Python. In this tutorial, we covered the following topics: 1. Introduction to AsyncIO in Python 2. Installing Python asyncio library 3. Basics of Python asyncio 4. Implementing Async Weather Fetching using Python asyncio 5. Benchmarking – Sync and Async weather check 6. Frequently Asked Questions (FAQs) We also discussed the differences between asyncio and generators, queue and asyncio, why asyncio is better than threads, what an asyncio future is, and how many times should asyncio run() be called. The Python asyncio library offers significant benefits when it comes to concurrent & accelerated test execution. This plays a major role in boosting the application's performance. In case you want to leverage the Python asyncio library for CPU-bound tasks or blocking I/O, we recommend checking out ThreadPoolExecutor. It offloads tasks from the Python asyncio event loop. Prominent use cases like web scraping, operations involving databases, etc., can benefit from asynchronous programming using the Python asyncio library.