MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

DuckDB is an amazing tool with deep integration with Python and R, but sometimes you just need data in Excel. xlDuckDb allows DuckDB SQL to be run within Excel. Query results are returned as regular ...

Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and improve code quality without making things more complicated. Libraries such as Textual, ...

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

Engineering teams are experimenting with AI agents at a rapid pace. In fact, a recent PwC survey found that 79 % of companies are already adopting AI agents. For Python developers, this shift doesn't ...

Unlike traditional databases, DuckDB is designed for analytics, not transactions. It integrates seamlessly with Python, R, and SQL workflows. There is no setup or configuration overhead. Performance ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

As a Python developer, your choice of database can greatly influence your project’s success. Selecting the right database is crucial for optimizing your application’s data handling capabilities, ...