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

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

Jupyter Notebook remains a leading development tool, offering faster workflows through shortcuts, magic functions, improved debugging, AI integration, and performance upgrades that support modern ...

backon is a modern evolution of backoff — a zero-dependency Python library for retry with exponential backoff. It provides decorator, functional, and context manager APIs for both sync and async code.

Formulas are powerful tools for performing calculations and analyzing data in Excel. In this beginner’s guide, you’ll learn how to use formulas (with or without help from the Copilot AI assistant) and ...

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

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, ...

Maximize development velocity and eliminate operations toil with this indie-favorite serverless, event-driven, no-ops stack.