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: Benefiting from the high-temporal resolution of electroencephalogram (EEG), EEG-based emotion recognition has become one of the hotspots of affective computing. For EEG-based emotion ...

This is a quickstart on how you create and deploy a Python function on Azure Functions 2.X using the Azure Functions Core Tools.

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

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 ...