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4chan for Clankers
2026-02-14 @ 10:47:01Points: 29Comments: 52
Ars Technica makes up quotes from Matplotlib maintainer; pulls story
2026-02-14 @ 09:28:45Points: 85Comments: 22
YouTube as Storage
2026-02-14 @ 09:10:15Points: 69Comments: 53
Zig – io_uring and Grand Central Dispatch std.Io implementations landed
2026-02-14 @ 08:22:11Points: 167Comments: 84
Cogram (YC W22) – Hiring former technical founders
2026-02-14 @ 07:00:15Points: 1
Backblaze Drive Stats for 2025
2026-02-14 @ 04:35:01Points: 99Comments: 16
Show HN: SQL-tap – Real-time SQL traffic viewer for PostgreSQL and MySQL
2026-02-14 @ 04:27:35Points: 137Comments: 23
NPMX – a fast, modern browser for the NPM registry
2026-02-14 @ 02:14:34Points: 116Comments: 44
Show HN: Data Engineering Book – An open source, community-driven guide
2026-02-13 @ 21:35:52Points: 185Comments: 21
The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system.
The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve.
Key Features:
LLM-Centric: Focuses on data pipelines specifically designed for LLM training and RAG systems.
Scenario-Based: Instead of just listing tools, I compare different methods/architectures based on specific business scenarios (e.g., "When to use Vector DB vs. Keyword Search").
Hands-on Projects: Includes full code for real-world implementations, not just "Hello World" examples.
This is a work in progress, and I'm treating it as "Book-as-Code". I would love to hear your feedback on the roadmap or any "anti-patterns" I might have included!
Check it out:
Online: https://datascale-ai.github.io/data_engineering_book/
GitHub: https://github.com/datascale-ai/data_engineering_book
The EU moves to kill infinite scrolling
2026-02-13 @ 20:52:11Points: 645Comments: 671
GPT-5.2 derives a new result in theoretical physics
2026-02-13 @ 19:20:12Points: 509Comments: 339
Building a TUI is easy now
2026-02-13 @ 17:50:54Points: 245Comments: 188
Fix the iOS keyboard before the timer hits zero or I'm switching back to Android
2026-02-13 @ 14:21:01Points: 1479Comments: 727
Monosketch
2026-02-13 @ 12:18:05Points: 795Comments: 134
WolfSSL sucks too, so now what?
2026-02-13 @ 10:18:56Points: 128Comments: 101
Babylon 5 is now free to watch on YouTube
2026-02-13 @ 08:49:02Points: 300Comments: 140
CSS-Doodle
2026-02-13 @ 08:02:23Points: 175Comments: 17
The wonder of modern drywall
2026-02-13 @ 03:33:27Points: 122Comments: 187
Common Lisp Screenshots: today's CL applications in action
2026-02-12 @ 01:44:35Points: 126Comments: 39
Adventures in Neural Rendering
2026-02-10 @ 21:26:16Points: 36Comments: 1
The Three Year Myth
2026-02-10 @ 19:51:38Points: 93Comments: 49
Gradient.horse
2026-02-10 @ 04:13:49Points: 280Comments: 58
Show HN: I spent 3 years reverse-engineering a 40 yo stock market sim from 1986
2026-02-10 @ 02:44:58Points: 399Comments: 139
It has been a rough journey but I finally see the light at the end of the tunnel. I just recently redid the website and thought maybe the full story of how this project came to be would interest you all. Thank you for reading.