HKUDS / AutoAgent
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
https://github.com/HKUDS/AutoAgent
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
https://github.com/HKUDS/AutoAgent
GitHub
GitHub - HKUDS/AutoAgent: "AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework" - HKUDS/AutoAgent
Leveraging Google Adk For Cyber Intelligence
The article details how Google Cloud's Agent Development Kit (ADK) enables the creation of autonomous, multi-agent cybersecurity systems like CyberGuardian, which coordinate specialized agents for real-time threat detection, analysis, containment, and automated recovery.
https://manta.black/leveraging-google-adk-for-cyber-intelligence.html
The article details how Google Cloud's Agent Development Kit (ADK) enables the creation of autonomous, multi-agent cybersecurity systems like CyberGuardian, which coordinate specialized agents for real-time threat detection, analysis, containment, and automated recovery.
https://manta.black/leveraging-google-adk-for-cyber-intelligence.html
manta.black
Leveraging Google Adk For Cyber Intelligence
Over the past month, I’ve been working on a project for the Google ADK agent hackathon. This post provides an overview of my current multi-agent system, used for threat intelligence gathering, processing, and analysis.
Switching pip to uv in a Dockerized Flask / Django App
Switching from pip to uv in Dockerized Flask or Django apps results in about a 10x faster dependency installation and introduces robust, lockfile-based dependency management, improving both speed and reliability. The process involves replacing requirements.txt with pyproject.toml, adjusting Dockerfiles to use uv commands, and configuring environment variables for efficient, reproducible ...
https://nickjanetakis.com/blog/switching-pip-to-uv-in-a-dockerized-flask-or-django-app
Switching from pip to uv in Dockerized Flask or Django apps results in about a 10x faster dependency installation and introduces robust, lockfile-based dependency management, improving both speed and reliability. The process involves replacing requirements.txt with pyproject.toml, adjusting Dockerfiles to use uv commands, and configuring environment variables for efficient, reproducible ...
https://nickjanetakis.com/blog/switching-pip-to-uv-in-a-dockerized-flask-or-django-app
Nick Janetakis
Switching pip to uv in a Dockerized Flask / Django App — Nick Janetakis
I noticed about a 10x speed up across a number of projects, we'll avoid using a venv and run things as a non-root user too.
OctopusDash
OctopusDash is a modern, open-source Django admin dashboard designed with a beautiful UI, powerful filtering, and granular permission control — crafted for developers and teams seeking more flexibility, clarity, and extensibility beyond the default Django admin.
https://github.com/husseinnaeemsec/octopusdash
OctopusDash is a modern, open-source Django admin dashboard designed with a beautiful UI, powerful filtering, and granular permission control — crafted for developers and teams seeking more flexibility, clarity, and extensibility beyond the default Django admin.
https://github.com/husseinnaeemsec/octopusdash
GitHub
GitHub - husseinnaeemsec/octopusdash: Dynamic Django admin panel
Dynamic Django admin panel. Contribute to husseinnaeemsec/octopusdash development by creating an account on GitHub.
Django: Introducing inline-snapshot-django
The article introduces inline-snapshot-django, a new Django package for snapshot testing SQL queries, allowing developers to automatically capture and compare query outputs in their tests. It aims to provide a more detailed and developer-friendly alternative to Django’s assertNumQueries(), making it easier to debug and maintain test suites for database interactions.
https://adamj.eu/tech/2025/06/24/django-introducing-inline-snapshot-django/
The article introduces inline-snapshot-django, a new Django package for snapshot testing SQL queries, allowing developers to automatically capture and compare query outputs in their tests. It aims to provide a more detailed and developer-friendly alternative to Django’s assertNumQueries(), making it easier to debug and maintain test suites for database interactions.
https://adamj.eu/tech/2025/06/24/django-introducing-inline-snapshot-django/
adamj.eu
Django: Introducing inline-snapshot-django - Adam Johnson
I recently released a new package called inline-snapshot-django. It’s a tool for snapshot testing SQL queries in Django projects, described shortly.
The logging module is from 2002. Here's how to use it in 2025
https://www.reddit.com/r/Python/comments/1lq2zq0/the_logging_module_is_from_2002_heres_how_to_use/
https://www.reddit.com/r/Python/comments/1lq2zq0/the_logging_module_is_from_2002_heres_how_to_use/
Reddit
From the Python community on Reddit: The logging module is from 2002. Here's how to use it in 2025
Explore this post and more from the Python community
Fun with uv and PEP 723
The article demonstrates how combining the new Python package manager uv with PEP 723 allows you to write self-contained Python scripts that declare and manage their own dependencies using inline metadata, making one-off scripting much easier and more portable. It showcases practical examples, such as running scripts with uv run and creating executable scripts that fetch YouTube transcri...
https://www.cottongeeks.com/articles/2025-06-24-fun-with-uv-and-pep-723
The article demonstrates how combining the new Python package manager uv with PEP 723 allows you to write self-contained Python scripts that declare and manage their own dependencies using inline metadata, making one-off scripting much easier and more portable. It showcases practical examples, such as running scripts with uv run and creating executable scripts that fetch YouTube transcri...
https://www.cottongeeks.com/articles/2025-06-24-fun-with-uv-and-pep-723
Cottongeeks
Fun with uv and PEP 723
How to use uv and the Python inline script metadata proposal PEP 723 to run scripts seamlessly.
PhotoshopAPI: 20× Faster Headless PSD Automation & Full Smart Object Control (No Photoshop Required)
https://www.reddit.com/r/Python/comments/1lre64q/photoshopapi_20_faster_headless_psd_automation/
https://www.reddit.com/r/Python/comments/1lre64q/photoshopapi_20_faster_headless_psd_automation/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
rl-swarm
A fully open source framework for creating RL training swarms over the internet.
https://github.com/gensyn-ai/rl-swarm
A fully open source framework for creating RL training swarms over the internet.
https://github.com/gensyn-ai/rl-swarm
GitHub
GitHub - gensyn-ai/rl-swarm: A fully open source framework for creating RL training swarms over the internet.
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling.
https://github.com/SakanaAI/treequest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling.
https://github.com/SakanaAI/treequest
GitHub
GitHub - SakanaAI/treequest: A Tree Search Library with Flexible API for LLM Inference-Time Scaling
A Tree Search Library with Flexible API for LLM Inference-Time Scaling - SakanaAI/treequest
Statically checking Python dicts for completeness
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
https://lukeplant.me.uk/blog/posts/statically-checking-python-dicts-for-completeness/
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
https://lukeplant.me.uk/blog/posts/statically-checking-python-dicts-for-completeness/
Luke Plant's home page
Statically checking Python dicts for completeness
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
genai-bench
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems.
https://github.com/sgl-project/genai-bench
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems.
https://github.com/sgl-project/genai-bench
GitHub
GitHub - sgl-project/genai-bench: Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation…
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems. - sgl-project/genai-bench
Spegel
Automatically rewrites the websites into markdown optimised for viewing in the terminal.
https://github.com/simedw/spegel
Automatically rewrites the websites into markdown optimised for viewing in the terminal.
https://github.com/simedw/spegel
GitHub
GitHub - simedw/spegel: Spegel - Reflect the web through AI
Spegel - Reflect the web through AI. Contribute to simedw/spegel development by creating an account on GitHub.
Reading NFC Passport Chips in Linux
The article explains how to read all data, including biometrics, from an NFC passport chip on Linux using the pypassport tool, detailing the process of reconstructing the required MRZ (Machine Readable Zone) password from passport details and providing Python code for both MRZ generation and chip reading
https://shkspr.mobi/blog/2025/06/reading-nfc-passport-chips-in-linux/
The article explains how to read all data, including biometrics, from an NFC passport chip on Linux using the pypassport tool, detailing the process of reconstructing the required MRZ (Machine Readable Zone) password from passport details and providing Python code for both MRZ generation and chip reading
https://shkspr.mobi/blog/2025/06/reading-nfc-passport-chips-in-linux/
Terence Eden’s Blog
Reading NFC Passport Chips in Linux
For boring and totally not nefarious reasons, I want to read all the data contained in my passport's NFC chip using Linux. After a long and annoying search, I settled on roeften's pypassport. I can now read all the passport information, including biometrics.…
Build a Podcast Discovery Web App in Pure Python
The video is a step-by-step tutorial on building a full-stack podcast discovery web app using only Python, leveraging the Reflex framework for both frontend and backend development. It demonstrates integrating user authentication with Clerk, database management with Postgres, and data validation with Pydantic, showing how modern Python tools can be combined to create interactive, product...
https://www.youtube.com/watch?v=9RUhp99J87c
The video is a step-by-step tutorial on building a full-stack podcast discovery web app using only Python, leveraging the Reflex framework for both frontend and backend development. It demonstrates integrating user authentication with Clerk, database management with Postgres, and data validation with Pydantic, showing how modern Python tools can be combined to create interactive, product...
https://www.youtube.com/watch?v=9RUhp99J87c
YouTube
Python Tutorial: Build a Podcast Discovery Web App in Pure Python
🚀 Get clerk now https://go.clerk.com/YXDCdS6
Build a full stack web app in pure Python to help users discover podcast episodes. We'll build this step-by-step. Check the chapters to skip around if you want.
⦿ Code: https://github.com/codingforentrepreneurs/podcast…
Build a full stack web app in pure Python to help users discover podcast episodes. We'll build this step-by-step. Check the chapters to skip around if you want.
⦿ Code: https://github.com/codingforentrepreneurs/podcast…
It Seems I No Longer Use Python’s Dataclasses
The video explores whether Python’s built-in dataclasses are still useful in 2025, given the rise of tools like Pydantic, FastAPI, and SQLAlchemy, concluding that most production code now relies on specialized data structures from these libraries rather than standard dataclasses. However, the presenter still finds dataclasses valuable for rapid prototyping and domain modeling, as they of...
https://www.youtube.com/watch?v=NRIgLNzmnYY
The video explores whether Python’s built-in dataclasses are still useful in 2025, given the rise of tools like Pydantic, FastAPI, and SQLAlchemy, concluding that most production code now relies on specialized data structures from these libraries rather than standard dataclasses. However, the presenter still finds dataclasses valuable for rapid prototyping and domain modeling, as they of...
https://www.youtube.com/watch?v=NRIgLNzmnYY
YouTube
It Seems I No Longer Use Python’s Dataclasses
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I take a deep dive into Python dataclasses in 2025. Are they still useful now that we have Pydantic, FastAPI, SQLAlchemy, and other tools? I walk through real…
In this video, I take a deep dive into Python dataclasses in 2025. Are they still useful now that we have Pydantic, FastAPI, SQLAlchemy, and other tools? I walk through real…
force-push-scanner
Scan for secrets in dangling commits on GitHub using GH Archive data.
https://github.com/trufflesecurity/force-push-scanner
Scan for secrets in dangling commits on GitHub using GH Archive data.
https://github.com/trufflesecurity/force-push-scanner
GitHub
GitHub - trufflesecurity/force-push-scanner: Scan for secrets in dangling commits on GitHub using GH Archive data.
Scan for secrets in dangling commits on GitHub using GH Archive data. - trufflesecurity/force-push-scanner