Introduction
Explore the foundational concepts of concurrency and asynchronous programming in Python with async.io. Understand how concurrency differs from parallelism and discover how an event loop can efficiently manage multiple tasks on a single thread. This lesson uses practical examples to illustrate these key ideas, laying the groundwork for advanced concurrency topics and preparing you to handle real-world asynchronous programming challenges.
We'll cover the following...
Introduction
Concurrency can be defined as dealing with multiple things at once. You can concurrently run several processes or threads on a machine with a single CPU but you'll not be parallel when doing so. Concurrency allows us to create an illusion of parallel execution even though the single CPU machine runs one thread or process at a time.
Parallelism is when we execute multiple things at once. True ...