asyncpg Offers Up to 3x Faster PostgreSQL Access for Async Python Apps

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asyncpg is a pure asyncio PostgreSQL driver for Python that eliminates thread overhead and delivers up to three times better performance than psycopg2 on typical workloads. It supports connection pooling, bulk inserts via copy_records_to_table, full-text search, and atomic transactions. Developers can set up a connection pool with configurable minimum and maximum sizes, along with command timeouts and custom server settings. The library uses parameterised queries to safely handle inserts, updates, and joins across related tables such as users and posts. Its async-native design makes it a strong fit for high-throughput Python backend applications built on frameworks that support asyncio.

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Developer releases free CLI tool to audit JSON-LD structured data across entire sites

A developer has released schema-audit, a zero-dependency, single-file Node.js CLI tool designed to crawl entire websites and lint their JSON-LD structured data. The tool addresses a common problem where structured data errors go unnoticed because pages continue to render normally despite broken schemas. It runs nine checks covering JSON validity, required and recommended properties, value sanity, and duplicate entities across schema types including Product, LocalBusiness, BreadcrumbList, and more. Results can be output as a human-readable report or in JSON format, with CI-friendly exit codes that can fail a build when markup regresses. The open-source project, licensed under MIT and available on GitHub, is the third tool in the developer's technical-SEO toolkit, following hreflang-audit and llms-txt-kit.

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ProgrammingDEV Community ·

Developer Rebuilds Research Pipeline for PhD After Master's Thesis Outgrows It

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ProgrammingDEV Community ·

How to Correctly Load a CSV into pandas and Avoid Silent Type Errors

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