In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...

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⏲️ Easy rate limiting for Python using a token bucket algorithm, with async and thread-safe decorators and context managers ...

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Cloud computing platforms have become very important in recent years for a wide variety of purposes, from serving websites through to scientific analysis, and the BBC has been an enthusiastic adopter ...

Python’s asynchronous programming functionality, or async for short, allows you to write programs that get more work done by not waiting for independent tasks to finish. The asyncio library included ...