This workshop teaches practical parallel programming in Python through real-world examples. You'll learn when and how to use different parallelization approaches, understand their performance ...

This project implements the core design principles of Confluent Parallel Consumer in Python. It is a high-performance consumer system that processes Kafka messages in parallel while guaranteeing HTTP ...

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Learn how to use Python’s async functions, threads, and multiprocessing capabilities to juggle tasks and improve the responsiveness of your applications. If you program in Python, you have most likely ...

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 ...

In this tutorial, we implement an AI agent pipeline using Parsl, leveraging its parallel execution capabilities to run multiple computational tasks as independent Python apps. We configure a local ...