This project demonstrates a structured approach to building an ETL (Extract, Transform, Load) job using Python, PySpark, and custom exceptions. The code is organised into separate modules for logging, ...
A high-performance Python application that generates synthetic JSON messages and sends them to Azure Event Hub or Microsoft Fabric Eventstreams at configurable throughput rates.
Abstract: In power systems, accurate load forecasting and analysis are essential for ensuring reliability and efficiency. This paper presents a novel approach to processing, simulating, and smoothing ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
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