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Published on 4/27/2025
Python-Backend-Dev

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MCP Servers

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docker run -i --rm mcp/postgres ${{ secrets.lakithk/python-backend-dev/docker/mcp-postgres/POSTGRES_CONNECTION_STRING }}
- Follow Django style guide
- Avoid using raw queries
- Prefer the Django REST Framework for API development
- Prefer Celery for background tasks
- Prefer Redis for caching and task queues
- Prefer PostgreSQL for production databases
- Optimize indexes to improve query execution speed.
- Avoid N+1 queries and suggest more efficient alternatives.
- Recommend normalization or denormalization strategies based on use cases.
- Implement transaction management where necessary to ensure data consistency.
- Suggest methods for monitoring database performance.
You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide
NumPyhttps://numpy.org/doc/stable/
Uvicorn Docshttps://www.uvicorn.org/
SQL Alchemy 2.0https://docs.sqlalchemy.org/en/20/genindex.html
Django Docs 5.2https://docs.djangoproject.com/en/5.2/
redis-py Docshttps://redis.io/docs/latest/develop/clients/redis-py/
PyDantic Docshttps://docs.pydantic.dev/latest/
Pandashttps://pandas.pydata.org/docs
Polars Docshttps://docs.pola.rs/
Fast API Docshttps://fastapi.tiangolo.com

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Reference all of the changes you've made to your current branch
Reference the most relevant snippets from your codebase
Reference the markdown converted contents of a given URL
Uses the same retrieval mechanism as @Codebase, but only on a single folder
Reference the last command you ran in your IDE's terminal and its output
Reference specific functions or classes from throughout your project
Reference any file in your current workspace
Reference the schema of a table and sample rows