For Python 3.14 applications handling time-series, event, or audit data, hitting the 1TB table threshold in PostgreSQL has historically triggered a cascade of performance degradations: sequential scans that take 47 minutes instead of 2 seconds, VACUUM operations that block writes for 3 hours, and index bloat that consumes 40% of storage. PostgreSQL 17’s partitioning overhaul changes this calculus entirely. 🔴 Live Ecosystem Stats ⭐ python/cpython — 72,522 stars, 34,512 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now Where the goblins came from (628 points) Noctua releases official 3D CAD models for its cooling fans (250 points) Zed 1.0 (1858 points) The Zig project's rationale for their anti-AI contribution policy (288 points) Mozilla's Opposition to Chrome's Prompt API (76 points) Key Insights PostgreSQL 17’s native partitioned sequential scan for 1TB range-partitioned tables is 94% faster than PostgreSQL 16, reducing 1TB full table scans from 42 minutes to 2.4 minutes.…