Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...

An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Learn how to connect YouTube data, fix template issues, and customize dashboards for clearer, shareable performance insights.

Data doesn’t persuade on its own. Structure your insights to show what’s working, what’s not, and what to do next.

Python has become a powerhouse for financial data analysis, blending speed, flexibility, and a rich ecosystem of libraries. From pulling real-time market data to creating predictive models, it ...

Python isn’t just for data and apps—it’s a playground for creativity. With tools like Processing, generativepy, and Pygame, you can turn code into visuals, patterns, and interactive experiences.

The new family of AI models can run on a smartphone, a Raspberry Pi, or a data centre, and is free to use commercially.

This week, INMA members heard how Kompas Daily and Reuters are using AI tools to improve news investigations and analyse data ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

Google DeepMind and Boston Dynamics are bringing Gemini Robotics-ER 1.6 to Spot, adding embodied reasoning for inspections, ...