Wow, thanks everyone! The juggling/chef/waiter analogies really helped me grasp the definition of concurrency better.
I tried the Python `asyncio` example someone mentioned, and it totally clicked—seeing how tasks overlap but don’t *actually* run in parallel was eye-opening.
One follow-up: Does the definition of concurrency get more complex in distributed systems, or is it the same idea scaled up?
(Also, typos fixed—no more "concurrency" mishaps 😅)
I tried the Python `asyncio` example someone mentioned, and it totally clicked—seeing how tasks overlap but don’t *actually* run in parallel was eye-opening.
One follow-up: Does the definition of concurrency get more complex in distributed systems, or is it the same idea scaled up?
(Also, typos fixed—no more "concurrency" mishaps 😅)
