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

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/

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

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/

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

httptap

Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.

https://github.com/ozeranskii/httptap

ValueCell

ValueCell is a community-driven, multi-agent platform for financial applications.

https://github.com/ValueCell-ai/valuecell

Async Django: a solution in search of a problem?

The article explains that Django added async support mainly to handle I/O-bound workloads more efficiently by allowing the server to process multiple requests concurrently without blocking. However, the async features add significant complexity and have seen limited adoption because most Django applications benefit more from offloading heavy tasks to background workers rather than rewrit...

https://www.loopwerk.io/articles/2025/async-django-why/

moneyflow

Personal Finance Data Interface for Power Users (supporting backends like Monarch Money)

https://github.com/wesm/moneyflow