Concurrency is the design pattern of making progress on multiple tasks by interleaving execution rather than running them on separate processing units (parallelism); it is distinct because a single-threaded process switches between tasks during idle periods, such as waiting on I/O, rather than executing them simultaneously. In Python, the `async`/`await` syntax and the asyncio event-loop model implement cooperative concurrency, letting a program issue non-blocking operations and resume execution when awaited results become available, which is well-suited to I/O-bound workloads because CPU-bound parallelism in Python is constrained by the Global Interpreter Lock (GIL). This concept belongs to the subject area of concurrent/asynchronous programming within computer science, and relates to the broader discipline of software architecture in that concurrency primitives can be composed with existing design patterns without altering their structure, though pipeline-style architectures may need explicit representation of which operations run sequentially versus concurrently.
Concurrency is the design pattern of making progress on multiple tasks by interleaving execution rather than running them on separate processing units (parallelism); it is distinct because a single-t…