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AI 行业动态、工程实践、产品方法和社区故事。

I Tested 5 AI Coding Assistants for a Month: Here’s What I Actually Found
Compare five AI coding assistants across real tasks to find which tool fits your workflow.
Who Pays for AI Data Centers?
The fight is usually framed as whether data centers get built. The harder question underneath it is "who pays and who decides?" The costs are intertwined.
30 分钟 · KDnuggets
5 Best Practices for Building Robust Python AI Libraries
This article covers building robust Python AI libraries specifically, Python AI SDK best practices, and what separates a production-ready AI package from one that only survives in its own demo.
19 分钟 · KDnuggetsLATEST STORIES
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Meta has entered the AI agent race in a big way.
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A fitted statsmodels model computes a more than just the array of numbers most code pulls out of it.
Data Engineering Weekly #290精选导读
The Weekly Data Engineering Newsletter
Python Foundations for Engineering: A KDnuggets Cheat Sheet精选导读
This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.
Forward Deployed Engineer: AI’s Hottest New Career, or Consulting With a Better Title?精选导读
The forward deployed engineer: is this the hot new AI career, or has the hype cycle rebranded?
5 Proven Techniques for Token Compression and Prompt Optimization精选导读
Reduce costs, improve response quality, and build leaner AI applications with these prompt engineering strategies.
BrowserAct AI Web Scraper in 2026: Build Once, Run Repeatedly精选导读
Describe your data needs in plain language and turn websites into a continuous source of fresh data.
From Messy Documents to Structured Data with Docling精选导读
Docling takes documents in whatever inconsistent format they arrive in, and converts them into one unified, structured representation that both people and AI systems can work with reliably, rather than everyone downstre…
How to Use Marimo for Interactive Data Analysis精选导读
Learn how to use Marimo for interactive data analysis with Python, Pandas, and Altair, and turn a reactive notebook into a simple shareable dashboard.







