Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

These are my go-to libraries for Python data crunching.

"Checking stock prices manually every day is a hassle," or "I want to see my portfolio performance at a glance." For those people, I will explain how to automatically acquire stock price data and ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Abstract: Cloud computing enables Network Function Virtualization to dynamically provide and deploy network functions (NFs) to meet business-specific requirements. This approach streamlines NFs’ ...

Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...

Abstract: Scoring functions (SFs), which measure the plausibility of triplets in knowledge graph (KG), have become the crux of KG embedding. Lots of SFs, which target at capturing different kinds of ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...