Abstract: Data Migration refers to the transfer of data and it is the indispensable aspect of all businesses in the digital era. The traditional bottleneck of data ...

The operator no longer programs. RiA Ecosystem brings intelligence that analyzes, understands, and executes industrial tasks autonomously – no teaching, no configuration, just results Robot Industries ...

This repository contains three Python projects demonstrating automation, ETL workflows, and control-system logic simulation. They were designed to reflect a structured engineering mindset and to ...

A Dockerized data analytics project that automates the ingestion and analysis of FEMA disaster and insurance claims data. Built with Python, PostgreSQL, Docker, and Power BI, it delivers real-time ...

According to Greg Brockman (@gdb), developers are experiencing a dual reaction to AI-assisted programming: inspiration from the significant automation provided by AI tools, and frustration over the ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Thinking about learning to code? Python is a great place to start, and this guide is here to help you get going. We’ll cover the basics, from setting things up to writing your first lines of code.

Nowadays, the companies are staking big on artificial intelligence and machine learning to derive knowledge in order to remain competitive in a data-driven world. The thing is that in fact, the magic ...

Every few years, the tools we use to automate work shift. In 2025, picking the best programming language for automation can mean fewer headaches and faster results. This post walks through how to ...

Abstract: This research intends to implement a data warehouse (DW) and ETL (Extract, Transform, Load) process to handle time-series data used by an XGBoost model to predict stock market prices. The ...