This is an introduction to the (relatively) new asyncio module that arrived in the standard library of Python 3.4. The documentation states that asyncio, > "...provides infrastructure 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." While we probably all understand much of the theoretical terminology in this definition, I intend to explore and illustrate what this means _in practice_ (with examples from a real-world networked application I have written using asyncio). To this end, I will assume no previous knowledge of asyncio and present: - A description of the problem asyncio helps to solve; - An introduction to core asyncio concepts such as the event loop, co-routines, futures and network abstractions; - A description of how such concepts fit together; - The story of how I rewrote my distributed hash table library with asyncio (from Twisted); - Examples of real-world asyncio development: unit-testing, what's easy, what's hard, when shouldn't you use asyncio? - Where to find out more. By the end of this introductory talk I hope you will have a desire to learn more about asyncio and perhaps give it a try in your own projects.