InfoWorld

How Apache Kafka flexed to support queues

The latest release of Apache Kafka delivers the queue-like consumption semantics of point-to-point messaging. Here’s the how, ...
marktechpost

How to Build Progress Monitoring Using Advanced tqdm for Async, Parallel, Pandas, Logging, and High-Performance Workflows

In this tutorial, we explore tqdm in depth and demonstrate how we build powerful, real-time progress tracking into modern Python workflows. We begin with nested progress bars and manual progress ...
GitHub

parallel_function_calling.py

from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceBehavior from semantic_kernel.connectors.ai.open_ai.services.open_ai_chat_completion import OpenAIChatCompletion from ...
IEEE

FastFlow-Python: Parallel Building Blocks in Python Through FastFlow Integration

Abstract: We present FastFlow-Python, a framework that brings parallelism to Python for stream-processing applications. FastFlow-Python enables developers to build high-throughput, low-latency ...
BroadwayWorld

PARALLEL PROCESS to be Presented at the Odyssey Theatre This Fall

Fifty years after America's involvement in Vietnam, Robert Altman Jr. — son of legendary M*A*S*H director Robert Altman — is bringing a powerful new war drama to the stage. The world premiere of ...
marktechpost

Google DeepMind Releases GenAI Processors: A Lightweight Python Library that Enables Efficient and Parallel Content Processing

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...
IEEE

High-Performance Computing for Efficient Transaction Processing: A Comparative Study of Parallel and Sequential Execution using SQLite

Abstract: High-performance computing (HPC) has become an essential tool for improving the efficiency and scalability of transaction processing systems, especially as data volumes continue to grow in ...
GitHub

Parallel-Nonlinear-PDE-using-MPI-and-HPC-with-Python

This repository contains the implementation of a parallel solver for Fisher’s equation using MPI and High-Performance Computing (HPC) with Python. The project builds on previous work with OpenMP and ...