Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

What if your database could not only answer your queries but also learn from them, growing smarter and more intuitive with every interaction? Imagine an AI-powered agent that understands your intent, ...

Have you ever found yourself drowning in a sea of media files, struggling to keep everything organized, encoded, and ready for use? For content creators and media professionals, this is more than just ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

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

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...

Serving tens of millions of developers, Microsoft's dev team for Python in Visual Studio Code shipped a new release with three major new features, including a "full" language server mode for Pylance, ...

M.Sc. C.S. University of Belgrade, Serbia; MCSA – Microsoft Certified Solutions Associate (C#, ASP.NET MVC); CodeProject MVP (x2 years); C#-Corner MVP (x3 years ...

Abstract: This study aims to analyze trending topic data on Twitter using Python and SQL filters to understand which users trigger and have the most influence on the formation of trending topics.