Abstract: Parallel processing has always been beneficial for increasing the performance of any computational model, applying in the Graphics Processing Unit (GPU), Field Programmable Gate Array (FPGA) ...

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 ...

objects to be transferred between processes using pipes or multi-producer/multi-consumer queues objects to be shared between processes using a server process or (for ...

OpenCV-video-multiprocessing is a small educational project that demonstrates how to process video frames faster and more cleanly using OpenCV, Python worker pools, and a frame queue. The repository ...

Abstract: With the growing multimedia technology the demand for encrypted images has increased. Gray scale images are used in various fields like the health sector, military, defense, astronomy, ...

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 ...

Spreadsheets have been a critical tool for managing information for individuals and organizations. However, manual spreadsheet tasks can be time-consuming and error-prone. This guide will show you how ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

If you would like to use the new coding assistant released by Meta or the different models currently available for the Llama 2 conversational AI large language model also made available via Meta. This ...

Hello everyone! For several years now, I have been writing various "assistant" telegram bots for myself in Python that handle various small routine tasks for me - notifying me about something, ...