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Source channel @githubtrending · Post #15513 · Feb 20

#python#agents#claude#cursor#databricks#vibecoding The Databricks AI Dev Kit enhances AI-driven development by providing your coding assistant (Claude Code, Cursor, etc.) with trusted Databricks knowledge and best practices. It includes a Python library, MCP server with 50+ tools, markdown skills teaching Databricks patterns, and a web-based builder app. You can build Spark pipelines, jobs, dashboards, knowledge assistants, and deploy ML models faster and smarter. The benefit is that your AI coding assistant gains direct access to Databricks functionality and patterns, enabling you to develop data and AI applications more efficiently with built-in governance and best practices. https://github.com/databricks-solutions/ai-dev-kit

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djangoproject

@djangoproject · Post #187 · 10/14/2016, 05:25 AM

https://github.com/aio-libs/aiopg #aiopg is a library for accessing a #PostgreSQL database from the #asyncio (PEP-3156/tulip) framework. It wraps asynchronous features of the Psycopg #database driver.

djangoproject

@djangoproject · Post #167 · 09/22/2016, 02:01 PM

https://github.com/aio-libs/aiomysql #aiomysql is a "driver" for accessing a #MySQL database from the #asyncio (PEP-3156/tulip) framework. It depends on and reuses most parts of #PyMySQL . aiomysql tries to be like awesome #aiopg library and preserve same api, look and feel. Internally aiomysql is copy of PyMySQL, underlying io calls switched to async, basically yield from and asyncio.coroutine added in proper places)). sqlalchemy support ported from aiopg.

djangoproject

@djangoproject · Post #293 · 04/10/2017, 09:41 AM

http://aiomysql.readthedocs.io/en/latest/sa.html aiomysql.sa — support for SQLAlchemy functional SQL layer sqlalchemy support ported from #aiopg, so #api should be very familiar for aiopg user. While core API provides a core support for access to #MySQL#database, manipulations with raw SQL strings too annoying. Fortunately we can use excellent SQLAlchemy Core as SQL query builder. So you can execute SQL #query built by tbl.insert().values(val='abc') or tbl.select() expressions. #sqlalchemy has rich and very powerful set of SQL construction functions, please read tutorial for full list of available operations. Also we provide SQL transactions support. Please take a look on SAConnection.begin() method and family.