Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A collection of simple, real-world cybersecurity scripts for threat detection, network scanning, log analysis, and incident response. Built as part of my transition into cybersecurity, this repo ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

Abstract: Statistical learning with programming can be used to improve statistical literacy, teach students, and promote educational innovations in information-driven universities through ...

In the digital age, the global character of the Internet has significantly improved our daily lives by providing access to large amounts of knowledge and allowing for seamless connections. However, ...

In version 1.26 (and earlier), multiplying an array with unsigned dtype by a negative number would return an array with signed integer dtype. In version 2.0.0rc2, this is true if the multiplicand is e ...

Freeform chat-powered tools like ChatGPT and Midjourney have captured much of the attention paid to generative AI, but increasingly, the technology is being used behind the scenes to breathe new life ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...