Python helps in fast development by making use of the enormously rich built-in modules and community-built packages. It is simple and powerful at the same time.
Recently, I took the opportunity to co-maintain an open-source repository called Needle in a Haystack (NIAH). NIAH is a benchmarking technique for Large Language Models (LLMs), where the model is tasked with identifying
Working of RabbitMQ Before diving directly into what topic-based exchanges are and how they work, it is obligatory to have a sound understanding of how messages are published and subscribed. The first thing
asyncio module helps in achieving asynchronous programming in Python. It gives the support for async / await keywords, similar to javascript. Let us directly dive into example code snippet and discuss it in details.
If the machine running the code has multiple cores, then multiprocessing (running code in multiple child processes) can help do tasks in parallel. Doing tasks in parallel helps in saving time on the
