PyPy, an alternative runtime for Python, uses a specially created JIT compiler to yield potentially massive speedups over CPython, the conventional Python runtime. But PyPy’s exemplary performance has ...

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 ...

Execute CPU-heavy async tasks in parallel without blocking your event loop AsyncerMp combines the power of asyncio and multiprocessing to handle computationally intensive workloads efficiently while ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Python is a highly concise and expressive language that enables developers to accomplish complex ...

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to ...

There’s more than one way to thread (or not to thread) a Python program. We point you to several threading resources, a fast new static type checker from Astral, a monkey patch for Pandas that adds ...

Faiss CPU and GPU indices are not thread-safe with respect to multiple user calling threads. Any multithreaded use of a single Faiss index needs to implement mutual exclusion. Different CPU Faiss ...