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

These snakes can go for months without eating, grow and shrink the size of their hearts and jump start their metabolism on a ...

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

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

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, ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram forks that allow attackers to read arbitrary files on compromised servers. At ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

Build custom tools and automate daily workflows with this complete Claude AI course. Includes prompt engineering and Opus 4.6 ...

New investment links Quadric with the governments and industries building their own AI, and a market hyperscale datacenters ...

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

Atlassian's Ming Wu on the 'context tax' and why organizations must stop treating AI as a productivity tool for individuals ...