Speeding Up Your Python Programs with Concurrency

What Is Concurrency? At its core, concurrency means a program can juggle multiple sequences of work. In Python, these sequences go by different names — threads, tasks, and processes — but they all share the same basic idea: each one represents a line of execution that can be paused and resumed. The important distinction is that threads and asynchronous tasks run on a single processor, switching between each other cleverly rather than truly running side by side. Processes, on the other hand, can