From Zero to Async: A Complete Guide to AsyncIO in Python

Learn to define and use Python functions with parameters and returns, including hello, multi-name loops, and dict and tuple handling. Explore squares and future topics like packages, imports, and classes.

Explore Python modules and packages by importing whole modules, selecting specific attributes, using aliases, creating and importing custom modules, and handling import errors with built-in modules to organize code efficiently.

Explore Python classes and objects with practical examples: an animal class, inheritance for birds with can fly and make sound, class and static methods, and rectangle area and is square.

Explore asynchronous programming to enable concurrent execution of tasks, improving performance and resource utilization through a structured, event-driven approach for long running and i/o bound operations.

Demonstrates setting up and running a simple asynchronous task in Python with the async IO library, defining an async def coroutine, awaiting async IO sleep, and running the event loop.

Explore how the event loop acts as a central hub that coordinates asynchronous tasks, dispatches events, and handles io, timeouts, and cooperative multitasking in asyncio-powered Python apps.

Implement a custom event loop using Python's asyncio library, defining coroutines and tasks, starting the loop with asyncio.run, and running them concurrently with asyncio.gather, printing ordered results.

Explore the await syntax in Python async IO, define coroutines with async def, run them via an event loop for concurrency, and learn about native coroutines and async comprehensions.

Master writing and running simple coroutines in Python with async/await, including defining async def functions, awaiting sleeps, creating tasks, and running the event loop for concurrent multitasking.

Learn to run async code with async io, manage the event loop, and run coroutines concurrently using run, run until complete, with callbacks and futures for results.

Leverage async IO to manage and execute multiple coroutines concurrently, simulating parallel downloads with two-second delays and gathering results after all tasks complete.

Discover how to create, schedule, cancel, and await async io tasks, monitor their status and results, and handle exceptions using async gather for concurrent execution.

Learn to create and manage async IO tasks in Python, scheduling concurrent coroutines with create_task and asyncio.gather to run multiple operations in parallel, including a practical square computation example.

Explore asynchronous client-server programming with asyncio, building a scalable server that handles multiple clients concurrently via coroutines and an event loop. Enable ssl or tls for secure communication.

Design and run an asynchronous tcp client–server with asyncio, where the server uses reader and writer to handle messages, decode utf-8 data, and send an ack while supporting multiple connections.

Learn how async IO enables asynchronous database operations with SQLite using IO SQLite, covering creating tables, inserting data, committing, fetching with async cursors, and using async with for resource management.

Demonstrate performing asynchronous database operations with asyncio and an async SQLite wrapper, including create table, insert data, and fetch data to keep applications responsive.

Combine asyncio with synchronous code by offloading blocking operations to a thread pool using run_in_executor. Wrap a synchronous function with an async wrapper to integrate libraries like requests.

Learn to safely mix asyncio and sync code, including legacy libraries, by running blocking functions in a thread pool to keep the asyncio event loop responsive.

Explore the internals of asyncio, build a simple task scheduler, and demonstrate scheduling coroutines with delays in a non-blocking event-loop fashion.

Explore techniques for testing asyncio applications, including pytest asynchronous tests and async def syntax. Leverage event loops, streams, servers, and protocols with fixtures and setup/teardown.

Learn how to write unit tests for asynchronous code in Python using pytest and pytest-asyncio, manage the event loop, await async functions, and validate data fetched by an async function.

Explore techniques to analyze performance bottlenecks, profile async io calls, and debug common async programming issues. Configure logging, use breakpoints, and enable asyncio debug mode to improve performance and reliability.

Profile and debug asyncio applications using logging and profiling techniques to identify bottlenecks, compare total duration with the longest task, and illustrate concurrent execution.

Create a custom logger class in Python with the logging library, configuring log levels, a formatter, and a console handler to show time, module, and function in logs.

Learn to build a concurrent web scraper with asyncio and aiohttp, fetching multiple pages efficiently. Use BeautifulSoup for parsing and implement retry logic to handle failures.

Demonstrates implementing an asynchronous web scraper with async IO and the io http library, fetching multiple URLs concurrently via a client session and async gather.

Explore building an asynchronous chat application with asyncio, creating a server and client that handle multiple connections and real-time message exchange for a responsive chat experience.

Explore using async IO with FastAPI to build high-performance APIs, including async routes, SQLite integration with databases, file uploads, and automatic OpenAPI swagger documentation.

Learn to integrate async io with FastAPI to build an asynchronous API that handles http requests concurrently, including routing, io bound simulations, and uvicorn running for swagger docs.

Review the course foundations from setting up the development environment to Python basics, then explore asynchronous programming with async IO, event loops, async/await, and networking.