It's easy to overload standard Python and watch your pro-grams slow to a crawl. The asyncio library was built to solve these problems by making it easy to divide and schedule tasks. It seamlessly handles multiple operations concurrently, leading to apps that are lightning fast and scalable. Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running. You'll learn how to overcome the limitations of Python using asyncio to speed up slow web servers and microservices. You'll even combine asyncio with traditional multiprocessing techniques for huge improvements to performance. What's Inside, Build web APIs and make concurrency web requests with aiohttp, Run thousands of SQL queries concurrently, Create a map-reduce job that can process gigabytes of data concurrently, Use threading with asyncio to mix blocking code with asyncio code, For intermediate Python programmers. No previous experience of concurrency required. Book jacket.