The GA Modbus Python Application is a comprehensive software suite for production and RMA test management, monitoring and logging data for GA P3E battery systems via serial Modbus RTU communication.

Proactive, innovative and persistent young man who is looking in the future and working as Backed Developer.

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

PG&E is modernizing its substation automation to improve reliability, cybersecurity, and integration with renewable energy sources. The upgrade focuses on replacing outdated RTUs with modular, ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python Hello! I'm a dreamer focusing on high-load distributed systems and low-level ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

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 ...

Designed by Namnam in Vietnam, the ESP32 Modbus gateway is built to communicate with PLCs and industrial sensors over Modbus RTU (RS-485) or Modbus TCP/IP (Ethernet/Wi-Fi). Designed for use in farms, ...

Dana Miranda is a Certified Educator in Personal Finance, creator of the Healthy Rich newsletter and author of You Don't Need a Budget: Stop Worrying about Debt, Spend without Shame, and Manage Money ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...