Synchronous HTTP request handling processes each network call sequentially, forcing a client to wait for one response before issuing the next, even when the requests are independent of one another. Connection pooling, managed through a session or client object, amortizes the cost of connection setup by reusing underlying connections across multiple requests rather than establishing a new one each time. Concurrency, implemented in Python via async/await and gathering of coroutines, allows independent I/O-bound operations to be dispatched simultaneously so total wait time approaches the duration of the slowest single request rather than the sum of all requests, at the cost of added rate-limiting risk against a single API.
Synchronous HTTP request handling processes each network call sequentially, forcing a client to wait for one response before issuing the next, even when the requests are independent of one another. C…