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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 ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13. By default, ...

Microsoft Teams is one of the most popular team collaboration and communication tools available — we even use Microsoft Teams here at Digital Trends. You can use it in a few different ways, too, ...

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 ...

asyncpg is a database interface library designed specifically for PostgreSQL and Python/asyncio. asyncpg is an efficient, clean implementation of PostgreSQL server binary protocol for use with ...

Examples of parallel compiler speedup from Python asyncio-subprocess, ThreadPoolExecutor, and ProcessPoolExecutor. We observe asyncio is faster than ThreadPoolExecutor, which is faster than ...

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 ...