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Post #191 1.81K
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Post #186 5.92K
This piece provides a guide to building a Retrieval-Augmented Generation (RAG) system using Anthropic's Claude, PostgreSQL, and Python on AWS. The tutorial walks through setting up the necessary PostgreSQL extensions and using Amazon Bedrock to create an application that generates more accurate AI responses.

https://www.tigerdata.com/blog/building-a-rag-system-with-claude-postgresql-python-on-aws
Tiger Data Blog Building a RAG System With Claude, PostgreSQL A walkthrough of building a RAG system using Anthropic Claude and PostgreSQL on Amazon Bedrock to make your AI app responses more accurate and context-aware.
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Post #184 4.41K
This blogpost from marimo explains how their notebook file format, which stores notebooks as Python programs instead of JSON, makes them more reusable, version-friendly, and testable. The format is designed to treat notebooks as proper software artifacts, overcoming the limitations of traditional .ipynb files.

https://marimo.io/blog/python-not-json
marimo.io Reinventing notebooks as reusable Python programs Designing a Python notebook that blends the best parts of interactive computing with the sanity of code
Post #183 5.05K
Post #182 5.56K
Post #180 11.3K
Optimize your Dockerized Flask or Django applications by switching from pip to uv for faster and more efficient Python package management. This guide provides a step-by-step approach to streamlining your development workflow.
https://nickjanetakis.com/blog/switching-pip-to-uv-in-a-dockerized-flask-or-django-app
Nick Janetakis Switching pip to uv in a Dockerized Flask / Django App — Nick Janetakis I noticed about a 10x speed up across a number of projects, we'll avoid using a venv and run things as a non-root user too.
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