PookieDb
Django-style ORM for SQLite and PostgreSQL. Chainable QuerySet API, migrations, relationships, and an interactive CLI. Works outside Django.
https://pypi.org/project/pookiedb/
Django-style ORM for SQLite and PostgreSQL. Chainable QuerySet API, migrations, relationships, and an interactive CLI. Works outside Django.
https://pypi.org/project/pookiedb/
Breaking Circular Imports in Python Without Losing Type Safety
The article explores practical techniques for handling circular imports in Python while preserving static type safety, using a financial modeling framework as a real-world example. It argues that strategically placed local imports and dependency thunks are often the least-bad solution, offering better type checking and maintainability than context dictionaries, builder patterns, or large...
https://www.orcaset.com/blog/breaking-circular-imports-in-python-without-losing-type-safety
The article explores practical techniques for handling circular imports in Python while preserving static type safety, using a financial modeling framework as a real-world example. It argues that strategically placed local imports and dependency thunks are often the least-bad solution, offering better type checking and maintainability than context dictionaries, builder patterns, or large...
https://www.orcaset.com/blog/breaking-circular-imports-in-python-without-losing-type-safety
Orcaset
Breaking Circular Imports in Python Without Losing Type Safety - Orcaset | AI-Native Financial Models
Orcaset is an AI-native financial modeling platform. It gives firms the tools to quickly evaluate financial performance by creating robust, transparent models in code at portfolio scale.
boundless-world-model
High-fidelity world models for general embodied intelligence, such as data engines and world simulators.
https://github.com/boundless-large-model/boundless-world-model
High-fidelity world models for general embodied intelligence, such as data engines and world simulators.
https://github.com/boundless-large-model/boundless-world-model
GitHub
GitHub - boundless-large-model/boundless-world-model: High-fidelity world models for general embodied intelligence, such as data…
High-fidelity world models for general embodied intelligence, such as data engines and world simulators. - boundless-large-model/boundless-world-model
Django: introducing django-integrity-policy
The article introduces django-integrity-policy, a package that helps Django applications enforce browser Integrity Policy headers, protecting against unauthorized or tampered third-party scripts and resources.
https://adamj.eu/tech/2026/05/31/introducing-django-integrity-policy/
The article introduces django-integrity-policy, a package that helps Django applications enforce browser Integrity Policy headers, protecting against unauthorized or tampered third-party scripts and resources.
https://adamj.eu/tech/2026/05/31/introducing-django-integrity-policy/
adamj.eu
Django: introducing django-integrity-policy - Adam Johnson
Back in January, Firefox’s Security & Privacy Newsletter for 2025 Q4 piqued my interest with this mention:
AI Engineering for Developers
A tour through AI engineering for developers who already know how to ship software. Fourteen chapters, no LinkedIn voice, no slow warm-up. We will go from 'what is a foundation model' to 'how do you run agents in production on Google Cloud' without skipping the parts that matter.
https://www.lucavall.in/blog/ai-engineering-for-developers
A tour through AI engineering for developers who already know how to ship software. Fourteen chapters, no LinkedIn voice, no slow warm-up. We will go from 'what is a foundation model' to 'how do you run agents in production on Google Cloud' without skipping the parts that matter.
https://www.lucavall.in/blog/ai-engineering-for-developers
Luca Cavallin
AI Engineering for Developers | Blog
A tour through AI engineering for developers who already know how to ship software. Fourteen chapters, no LinkedIn voice, no slow warm-up. We will go from 'what is a foundation model' to 'how do you run agents in production on Google Cloud' without skipping…
How Servers Work: A Hands-On Introduction to TCP Sockets
Learn how servers actually work by building a tiny TCP server and client from scratch. A hands-on introduction to sockets, TCP, and the network programming model every backend, DevOps, and platform engineer should go through at least once.
https://labs.iximiuz.com/tutorials/how-servers-work-tcp-sockets
Learn how servers actually work by building a tiny TCP server and client from scratch. A hands-on introduction to sockets, TCP, and the network programming model every backend, DevOps, and platform engineer should go through at least once.
https://labs.iximiuz.com/tutorials/how-servers-work-tcp-sockets
iximiuz Labs
How Servers Work: A Hands-On Introduction to TCP Sockets | iximiuz Labs
Learn how servers actually work by building a tiny TCP server and client from scratch. A hands-on introduction to sockets, TCP, and the network programming model every backend, DevOps, and platform engineer should go through at least once.
👍1
The Smallest Brain You Can Build: A Perceptron in Python
https://ranpara.net/posts/perceptron-explained-from-scratch/
https://ranpara.net/posts/perceptron-explained-from-scratch/
Devarsh Ranpara
The Smallest Brain You Can Build
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.
❤1
Are you expected to run five Python type-checkers now?
https://pyrefly.org/blog/too-many-type-checkers/
https://pyrefly.org/blog/too-many-type-checkers/
pyrefly.org
Are you really expected to run five type-checkers now? | Pyrefly
Library maintainers may feel overwhelmed by the plurality of type checkers that exist. We offer some guidance on how to focus their efforts where they matter most.
Open-LLM-VTuber / Open-LLM-VTuber
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms
https://github.com/Open-LLM-VTuber/Open-LLM-VTuber
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms
https://github.com/Open-LLM-VTuber/Open-LLM-VTuber
GitHub
GitHub - Open-LLM-VTuber/Open-LLM-VTuber: Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking…
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms - Open-LLM-VTuber/Open-LLM-VTuber
A User’s Journey with Plugin Playground: From First Idea to Installable JupyterLab Extension.
Plugin Playground lets developers prototype, test, and iterate on JupyterLab extensions entirely from within JupyterLab, eliminating much of the setup and packaging overhead of traditional extension development. The article follows the journey from a simple idea to a publishable extension, showing how Plugin Playground accelerates experimentation and lowers the barrier to building custom...
https://blog.jupyter.org/a-users-journey-with-plugin-playground-from-first-idea-to-installable-jupyterlab-extension-697021dd6fb9
Plugin Playground lets developers prototype, test, and iterate on JupyterLab extensions entirely from within JupyterLab, eliminating much of the setup and packaging overhead of traditional extension development. The article follows the journey from a simple idea to a publishable extension, showing how Plugin Playground accelerates experimentation and lowers the barrier to building custom...
https://blog.jupyter.org/a-users-journey-with-plugin-playground-from-first-idea-to-installable-jupyterlab-extension-697021dd6fb9
Medium
A User’s Journey with Plugin Playground: From First Idea to Installable JupyterLab Extension.
We are excited to announce the 1.0 release of JupyterLab Plugin Playground, allowing you to seamlessly experiment with the creation of…
PyTorch Custom Operation
Using PyTorch custom operations is common in PyTorch models. PyTorch custom operations can be custom classes and custom functions implemented in C++ and CUDA and used in both Python and C++ inference programs. This post shares how to implement PyTorch custom operations in C++ and CUDA, and how to use them in PyTorch models and AOTInductor compiled inference programs, using a simple ident...
https://leimao.github.io/blog/PyTorch-Custom-Operation/
Using PyTorch custom operations is common in PyTorch models. PyTorch custom operations can be custom classes and custom functions implemented in C++ and CUDA and used in both Python and C++ inference programs. This post shares how to implement PyTorch custom operations in C++ and CUDA, and how to use them in PyTorch models and AOTInductor compiled inference programs, using a simple ident...
https://leimao.github.io/blog/PyTorch-Custom-Operation/
Lei Mao's Log Book
PyTorch Custom Operation
Implementing PyTorch Custom Operations In C++ and CUDA Using torch.library
Archaeologist
A codebase intelligence toolkit that finds dead code, analyzes change impact, scores complexity, detects duplication, and generates interactive codebase graphs.
https://github.com/prathik-arun/archaeologist
A codebase intelligence toolkit that finds dead code, analyzes change impact, scores complexity, detects duplication, and generates interactive codebase graphs.
https://github.com/prathik-arun/archaeologist
GitHub
GitHub - prathik-arun/archaeologist
Contribute to prathik-arun/archaeologist development by creating an account on GitHub.
Agentic RL: Token-In, Token-Out Done Right
Training agentic LLMs with reinforcement learning can silently break when tool-calling workflows re-tokenize model outputs between turns, causing gradients to be applied to sequences the model never actually generated. The article introduces the Token-In, Token-Out (TITO) approach, which avoids re-encoding decoded tokens and preserves training correctness while simplifying multi-turn RL ...
https://qgallouedec-tito.hf.space/
Training agentic LLMs with reinforcement learning can silently break when tool-calling workflows re-tokenize model outputs between turns, causing gradients to be applied to sequences the model never actually generated. The article introduces the Token-In, Token-Out (TITO) approach, which avoids re-encoding decoded tokens and preserves training correctness while simplifying multi-turn RL ...
https://qgallouedec-tito.hf.space/
❤1
rustgate
Small FastAPI backend that uses a Rust pyo3 extension for AI token-aware rate limiting backed by Redis.
https://github.com/MordechaiHadad/rustgate
Small FastAPI backend that uses a Rust pyo3 extension for AI token-aware rate limiting backed by Redis.
https://github.com/MordechaiHadad/rustgate
GitHub
GitHub - MordechaiHadad/rustgate: A rust powered token-aware rate limiter for FastAPI
A rust powered token-aware rate limiter for FastAPI - MordechaiHadad/rustgate
Web Scraping with Python & JavaScript – MERN Stack Full Course
Learn to build robust web scrapers that can defeat modern anti-bot systems. In this full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index.
https://www.youtube.com/watch?v=V1JmI5sUc5E
Learn to build robust web scrapers that can defeat modern anti-bot systems. In this full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index.
https://www.youtube.com/watch?v=V1JmI5sUc5E
YouTube
Web Scraping with Python & JavaScript – MERN Stack Full Course
Learn to build robust web scrapers that can defeat modern anti-bot systems. In this 5.5-hour full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com…
Pattern Screamer: Subnet Discovery in Networks with Unknown Addressing
This article introduces Pattern Screamer, a reconnaissance tool that uses multi-protocol TTL tracing to discover routers, subnets, and network topology in environments with unknown addressing schemes. By combining heuristic subnet sampling with ICMP, TCP, and UDP probes, it dramatically reduces scan volume while enabling attackers and administrators to map network infrastructure without ...
https://ifritnoises.org/articles/pattern-screamer/
This article introduces Pattern Screamer, a reconnaissance tool that uses multi-protocol TTL tracing to discover routers, subnets, and network topology in environments with unknown addressing schemes. By combining heuristic subnet sampling with ICMP, TCP, and UDP probes, it dramatically reduces scan volume while enabling attackers and administrators to map network infrastructure without ...
https://ifritnoises.org/articles/pattern-screamer/
Ifrit
Pattern Screamer: Subnet Discovery in Networks with Unknown Addressing
Turn traceroute into network-wide recon: TTL tracing across ICMP, TCP and UDP to map subnets behind filters
EverOS
Build, evaluate, and integrate long-term memory for self-evolving agents.
https://github.com/EverMind-AI/EverOS
Build, evaluate, and integrate long-term memory for self-evolving agents.
https://github.com/EverMind-AI/EverOS
GitHub
GitHub - EverMind-AI/EverOS: Self-evolving memory across Agent and platform. The one portable memory layer for every agent they…
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more - EverMind-AI/EverOS