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.
👍2
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?...
Why Performance Matters in Python Development
Learn why code optimization is important and how efficient Python code improves speed, scalability, and the user experience.
https://blog.jetbrains.com/pycharm/2025/10/why-performance-matters-in-python-development/
Learn why code optimization is important and how efficient Python code improves speed, scalability, and the user experience.
https://blog.jetbrains.com/pycharm/2025/10/why-performance-matters-in-python-development/
The JetBrains Blog
Why Performance Matters in Python Development | The PyCharm Blog
Learn why code optimization is important and how efficient Python code improves speed, scalability, and the user experience.
Uv is the best thing to happen to the Python ecosystem in a decade
https://emily.space/posts/251023-uv
https://emily.space/posts/251023-uv
emily.space
uv is the best thing to happen to the Python ecosystem in a decade - Blog - Dr. Emily L. Hunt
Released in 2024, uv is hands-down the best tool for managing Python installations and dependencies. Here's why.
Python Pydantic Tutorial: Complete Data Validation Course (Used by FastAPI)
Learn how to use Pydantic to validate and structure data in Python using type hints, custom validators, and nested models. Pydantic simplifies data handling in web apps, pipelines, and AI tools by replacing messy manual validation with clean, reliable models.
https://www.youtube.com/c/Coreyms/videos
Learn how to use Pydantic to validate and structure data in Python using type hints, custom validators, and nested models. Pydantic simplifies data handling in web apps, pipelines, and AI tools by replacing messy manual validation with clean, reliable models.
https://www.youtube.com/c/Coreyms/videos
YouTube
Corey Schafer
Welcome to my Channel. This channel is focused on creating tutorials and walkthroughs for software developers, programmers, and engineers. We cover topics for all different skill levels, so whether you are a beginner or have many years of experience, this…