Asynchronous Python Programming with Asyncio and Async/await: Learn to Write Robust and Modern Asynchronous Code

Asyncio, async/await allow you to write code that runs multiple processes simultaneously using synchronous Python Programming. It makes your code more responsive, and it stops it from waiting for slow files and internet access. It is easier to write, more efficient to reason about, and requires less memory than processes and threads. We start the video by giving an overview of asyncio and showing the core syntax and building blocks in a few examples. Next, you'll see how to make normal Python codes work in an asynchronous environment to minimize blocking and facilitate cooperative multitasking. We also cover an asyncio use case that uses asynio streams API to connect to web servers. Next, we will discuss communication between coroutines as well as synchronization of coroutines. We will also discuss how to use the asyncio libraries to wrap blocking code into threads and process, as well as non-blocking replacement library libraries that are used with asyncio like aiohttp or aiofiles. Asyncio's uvloop, unsync and other libraries will be discussed. This section will cover writing robust asyncio codes to debug and test your code, and how to use the low-level functions for fine-grain control. This video will walk you through an example of an event loop (the heart of asyncio), a review of the different types and functions of awaitables, and how to use them to control fine grain control.