typeagent-py
This is an in-progress project aiming at a Pythonic translation of TypeAgent KnowPro and a few related packages from TypeScript to Python.
https://github.com/microsoft/typeagent-py
This is an in-progress project aiming at a Pythonic translation of TypeAgent KnowPro and a few related packages from TypeScript to Python.
https://github.com/microsoft/typeagent-py
GitHub
GitHub - microsoft/typeagent-py: Python port of part of the TypeAgent repo
Python port of part of the TypeAgent repo. Contribute to microsoft/typeagent-py development by creating an account on GitHub.
Brewing with SQLAlchemy
This series is a comprehensive workshop designed to teach SQLAlchemy from fundamental concepts through advanced data modeling and complex query crafting. By the end, it aims to equip learners with practical skills to confidently handle data challenges and build scalable, powerful applications using SQLAlchemy’s ORM and session features.
https://fullstack.rocks/article/sqlalchemy/brewing_with_sqlalchemy
This series is a comprehensive workshop designed to teach SQLAlchemy from fundamental concepts through advanced data modeling and complex query crafting. By the end, it aims to equip learners with practical skills to confidently handle data challenges and build scalable, powerful applications using SQLAlchemy’s ORM and session features.
https://fullstack.rocks/article/sqlalchemy/brewing_with_sqlalchemy
Fullstack.rocks
Brewing with SQLAlchemy ORM - Fullstack.rocks
A series of articles about brewing with SQLAlchemy ORM. This article series aims to take you from the basics to the advanced features of the SQLAlchemy ORM.
wove
Beautiful Python async. It is for running high latency async tasks like web requests and database queries concurrently in the same way as asyncio, but with a drastically improved user experience.
https://github.com/curvedinf/wove
Beautiful Python async. It is for running high latency async tasks like web requests and database queries concurrently in the same way as asyncio, but with a drastically improved user experience.
https://github.com/curvedinf/wove
GitHub
GitHub - curvedinf/wove: Beautiful Python async
Beautiful Python async. Contribute to curvedinf/wove development by creating an account on GitHub.
How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling
This article cover the architecture and how to guide for DeepSeek OCR- this story has gone viral on this topic.
https://medium.com/data-and-beyond/how-deepseek-ocr-quietly-solved-a-billion-dollar-problem-in-ai-scaling-7b4502613af9?sk=d43719a9caf7dfe938f9af1eac86056b
This article cover the architecture and how to guide for DeepSeek OCR- this story has gone viral on this topic.
https://medium.com/data-and-beyond/how-deepseek-ocr-quietly-solved-a-billion-dollar-problem-in-ai-scaling-7b4502613af9?sk=d43719a9caf7dfe938f9af1eac86056b
Medium
How DeepSeek OCR Quietly Solved a Billion-Dollar Problem in AI Scaling
A technical marvel using SAM, CLIP, and a sparse MoE decoder — at open-source scale.
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Monte Carlo modeling in Python with probabilit
The article introduces probabilit, a Python package designed for Monte Carlo modeling that simplifies uncertainty calculations by allowing users to model equations with probability distributions and sample from them. It demonstrates key features like Latin Hypercube Sampling for efficient sampling and inducing correlations between variables, highlighting its suitability for prototyping u...
https://tommyodland.com/articles/2025/monte-carlo-modeling-in-python-with-probabilit/
The article introduces probabilit, a Python package designed for Monte Carlo modeling that simplifies uncertainty calculations by allowing users to model equations with probability distributions and sample from them. It demonstrates key features like Latin Hypercube Sampling for efficient sampling and inducing correlations between variables, highlighting its suitability for prototyping u...
https://tommyodland.com/articles/2025/monte-carlo-modeling-in-python-with-probabilit/
tommyodland.com
Monte Carlo modeling in Python with probabilit
The Python package probabilit uses a lazily evaluated graph to propagate samples from various distributions through mathematical expressions. The package also contains low-level functions for correlating random variables and finding the nearest correlation matrix.
skylos
Yet another static analysis tool for Python codebases written in Python that detects dead code + common security flaws created by ai. Faster and better than the rest :) also, who let the dawgs out?
https://github.com/duriantaco/skylos
Yet another static analysis tool for Python codebases written in Python that detects dead code + common security flaws created by ai. Faster and better than the rest :) also, who let the dawgs out?
https://github.com/duriantaco/skylos
GitHub
GitHub - duriantaco/skylos: Yet another static analysis tool for Python codebases written in Python that detects dead code + common…
Yet another static analysis tool for Python codebases written in Python that detects dead code + common security flaws created by ai. Faster and better than the rest :) also, who let the dawgs out?...