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.
👍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…
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
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
GitHub
GitHub - ozeranskii/httptap: Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with…
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. - ozeranskii/httptap
ValueCell
ValueCell is a community-driven, multi-agent platform for financial applications.
https://github.com/ValueCell-ai/valuecell
ValueCell is a community-driven, multi-agent platform for financial applications.
https://github.com/ValueCell-ai/valuecell
GitHub
GitHub - ValueCell-ai/valuecell: ValueCell is a community-driven, multi-agent platform for financial applications.
ValueCell is a community-driven, multi-agent platform for financial applications. - 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/
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/
Loopwerk
Async Django: a solution in search of a problem?
While a technical marvel, async Django has been quietly rejected by the community it was built for, with the vast majority of developers sticking to simpler, proven solutions.
moneyflow
Personal Finance Data Interface for Power Users (supporting backends like Monarch Money)
https://github.com/wesm/moneyflow
Personal Finance Data Interface for Power Users (supporting backends like Monarch Money)
https://github.com/wesm/moneyflow
GitHub
GitHub - wesm/moneyflow: Moneyflow: Personal Finance Data Interface for Power Users (supporting backends like Monarch Money, YNAB)
Moneyflow: Personal Finance Data Interface for Power Users (supporting backends like Monarch Money, YNAB) - wesm/moneyflow
the bug that taught me more about PyTorch than years of using it
The blog post recounts how a silent PyTorch MPS backend bug caused training loss plateaus by failing to update model weights on non-contiguous tensors, leading the author through a deep debugging journey that revealed PyTorch internals and the complexity of device-specific GPU kernel implementations. This experience taught more about PyTorch's workings than years of usage, emphasizing th...
https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch
The blog post recounts how a silent PyTorch MPS backend bug caused training loss plateaus by failing to update model weights on non-contiguous tensors, leading the author through a deep debugging journey that revealed PyTorch internals and the complexity of device-specific GPU kernel implementations. This experience taught more about PyTorch's workings than years of usage, emphasizing th...
https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch
elanapearl.github.io
the bug that taught me more about PyTorch than years of using it
a loss plateau that looked like my mistake turned out to be a PyTorch bug. tracking it down meant peeling back every layer of abstraction, from optimizer internals to GPU kernels.
IsaacSim
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
https://github.com/isaac-sim/IsaacSim
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.
https://github.com/isaac-sim/IsaacSim
GitHub
GitHub - isaac-sim/IsaacSim: NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and…
NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments. - isaac-sim/IsaacSim
Codetracer - a time-travelling debugger for Python
Codetracer is a new way to debug and code-review Python. Demo:
https://youtu.be/e2ctwMbpuCA
https://github.com/metacraft-labs/codetracer
Codetracer is a new way to debug and code-review Python. Demo:
https://youtu.be/e2ctwMbpuCA
https://github.com/metacraft-labs/codetracer
YouTube
Codetracer time-travel debugger for Python (prerelease)
We introduce CodeTracer for Python timetravel debugger and we show how it can be used to radically improve the experience of debugging Python software
codelion / openevolve
Open-source implementation of AlphaEvolve
https://github.com/codelion/openevolve
Open-source implementation of AlphaEvolve
https://github.com/codelion/openevolve
GitHub
GitHub - codelion/openevolve: Open-source implementation of AlphaEvolve
Open-source implementation of AlphaEvolve. Contribute to codelion/openevolve development by creating an account on GitHub.
AI-Trader
Five AIs battle for NASDAQ 100 supremacy. Zero human input. Pure competition.
https://github.com/HKUDS/AI-Trader
Five AIs battle for NASDAQ 100 supremacy. Zero human input. Pure competition.
https://github.com/HKUDS/AI-Trader
GitHub
GitHub - HKUDS/AI-Trader: "AI-Trader: Can AI Beat the Market?" Live Trading: https://ai4trade.ai
"AI-Trader: Can AI Beat the Market?" Live Trading: https://ai4trade.ai - HKUDS/AI-Trader