qrt
This project explores data transfer using a screen-to-camera approach. The idea is simple: encode information into a sequence of QR codes, display them as a video on a screen, and then use a camera to capture and decode the video frames to retrieve the original data.
https://github.com/smyrgeorge/qrt
This project explores data transfer using a screen-to-camera approach. The idea is simple: encode information into a sequence of QR codes, display them as a video on a screen, and then use a camera to capture and decode the video frames to retrieve the original data.
https://github.com/smyrgeorge/qrt
GitHub
GitHub - smyrgeorge/qrt: QRT: A screen-to-camera data transfer protocol
QRT: A screen-to-camera data transfer protocol. Contribute to smyrgeorge/qrt development by creating an account on GitHub.
PentestAgent
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
https://github.com/GH05TCREW/pentestagent
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.
https://github.com/GH05TCREW/pentestagent
GitHub
GitHub - GH05TCREW/pentestagent: PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red…
PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows. - GH05TCREW/pentestagent
10 Python Features You’re Not Using (But Really Should)
The video highlights lesser-known but powerful Python features that can significantly improve code readability, safety, and performance. Through practical before-and-after examples, it shows experienced Python developers how small language features can meaningfully level up real-world code.
https://www.youtube.com/watch?v=cXl-AUXHHZY
The video highlights lesser-known but powerful Python features that can significantly improve code readability, safety, and performance. Through practical before-and-after examples, it shows experienced Python developers how small language features can meaningfully level up real-world code.
https://www.youtube.com/watch?v=cXl-AUXHHZY
YouTube
10 Python Features You’re Not Using (But Really Should)
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
Python has a lot of powerful features hiding in plain sight, and many developers never really use them. In this video, you’ll see a series of small but impactful Python features…
Python has a lot of powerful features hiding in plain sight, and many developers never really use them. In this video, you’ll see a series of small but impactful Python features…
Django: profile memory usage with Memray
The article shows how to profile Python-based Django apps using Memray to find memory leaks and inefficient allocations by capturing allocation snapshots and comparing them over time. It walks through setup, running profiles locally, analyzing results, and using traces to make targeted improvements that reduce memory usage and improve performance.
https://adamj.eu/tech/2026/01/29/django-profile-memray/
The article shows how to profile Python-based Django apps using Memray to find memory leaks and inefficient allocations by capturing allocation snapshots and comparing them over time. It walks through setup, running profiles locally, analyzing results, and using traces to make targeted improvements that reduce memory usage and improve performance.
https://adamj.eu/tech/2026/01/29/django-profile-memray/
adamj.eu
Django: profile memory usage with Memray - Adam Johnson
Memory usage can be hard to keep under control in Python projects. The language doesn’t make it explicit where memory is allocated, module imports can have significant costs, and it’s all too easy to create a global data structure that accidentally grows…
disler / claude-code-hooks-mastery
Master Claude Code Hooks
https://github.com/disler/claude-code-hooks-mastery
Master Claude Code Hooks
https://github.com/disler/claude-code-hooks-mastery
GitHub
GitHub - disler/claude-code-hooks-mastery: Master Claude Code Hooks
Master Claude Code Hooks. Contribute to disler/claude-code-hooks-mastery development by creating an account on GitHub.
Monty: A minimal, secure Python interpreter written in Rust for use by AI
https://github.com/pydantic/monty
https://github.com/pydantic/monty
GitHub
GitHub - pydantic/monty: A minimal, secure Python interpreter written in Rust for use by AI
A minimal, secure Python interpreter written in Rust for use by AI - pydantic/monty
Deploying Python Web Applications with Docker
The post is a hands-on guide explaining why the author migrated his Python web applications to Docker containers, highlighting Docker’s consistent isolation and practical benefits for deployment compared to traditional setups like system Python and virtual environments. It walks through what to include in the container (base image, Python, virtual environment, and WSGI server such as gun...
https://chriswarrick.com/blog/2026/02/06/deploying-python-web-applications-with-docker/
The post is a hands-on guide explaining why the author migrated his Python web applications to Docker containers, highlighting Docker’s consistent isolation and practical benefits for deployment compared to traditional setups like system Python and virtual environments. It walks through what to include in the container (base image, Python, virtual environment, and WSGI server such as gun...
https://chriswarrick.com/blog/2026/02/06/deploying-python-web-applications-with-docker/
Chris Warrick
Deploying Python Web Applications with Docker
Friendship ended with uWSGI Emperor, now Docker is my best friend
Better Python tests with inline-snapshot
Learn how Pydantic uses inline-snapshot and dirty-equals for better testing.
https://pydantic.dev/articles/inline-snapshot
Learn how Pydantic uses inline-snapshot and dirty-equals for better testing.
https://pydantic.dev/articles/inline-snapshot
pydantic.dev
Better Python tests with inline-snapshot
How Pydantic uses inline-snapshot and dirty-equals for better testing
VOOG – Moog-style polyphonic synthesizer in Python with tkinter GUI
https://github.com/gpasquero/voog
https://github.com/gpasquero/voog
GitHub
GitHub - gpasquero/voog: VOOG — Virtual Analog Synthesizer (Moog-style polyphonic synth with GUI)
VOOG — Virtual Analog Synthesizer (Moog-style polyphonic synth with GUI) - gpasquero/voog
Webmentions with batteries included
A zero-cost library to integrate Webmentions in your website.
https://blog.fabiomanganiello.com/article/webmentions-with-batteries-included
A zero-cost library to integrate Webmentions in your website.
https://blog.fabiomanganiello.com/article/webmentions-with-batteries-included
Fabio Manganiello
Webmentions with batteries included
A zero-cost library to integrate Webmentions in your website
The "LLM-as-Analyst" Trap: A Technical Deep-Dive into Agentic Data Systems
Why the simplest agentic pattern is the most dangerous for factual data operations.
https://appliedingenuity.substack.com/p/the-llm-as-analyst-trap-a-technical
Why the simplest agentic pattern is the most dangerous for factual data operations.
https://appliedingenuity.substack.com/p/the-llm-as-analyst-trap-a-technical
Substack
The "LLM-as-Analyst" Trap: A Technical Deep-Dive into Agentic Data Systems
Why the simplest agentic pattern is the most dangerous for factual data operations.
Zoocache
Semantic dependency based cache with high performance and concurrency in mind.
https://github.com/albertobadia/zoocache
Semantic dependency based cache with high performance and concurrency in mind.
https://github.com/albertobadia/zoocache
GitHub
GitHub - albertobadia/zoocache: Semantic dependency based cache with high performance and concurrency in mind.
Semantic dependency based cache with high performance and concurrency in mind. - albertobadia/zoocache
microgpt.py
Train and inference GPT in 243 lines of pure, dependency-free Python.
https://gist.github.com/karpathy/8627fe009c40f57531cb18360106ce95
Train and inference GPT in 243 lines of pure, dependency-free Python.
https://gist.github.com/karpathy/8627fe009c40f57531cb18360106ce95
Gist
microgpt
microgpt. GitHub Gist: instantly share code, notes, and snippets.
airs-bench
An AI Research Science benchmark for quantifying the end-to-end AI research abilities of LLM agents.
https://github.com/facebookresearch/airs-bench
An AI Research Science benchmark for quantifying the end-to-end AI research abilities of LLM agents.
https://github.com/facebookresearch/airs-bench
GitHub
GitHub - facebookresearch/airs-bench: AIRS-Bench: an AI Research Science benchmark for quantifying the end-to-end AI research abilities…
AIRS-Bench: an AI Research Science benchmark for quantifying the end-to-end AI research abilities of LLM agents - facebookresearch/airs-bench
Python 3.12 vs 3.13 vs 3.14: What Changed and Which Should You Use
Compare Python 3.12, 3.13, and 3.14 side by side. See what changed across free-threading, JIT, t-strings, performance, and library support plus which version you should actually use in 2026.
https://releaserun.com/python-3-12-vs-3-13-vs-3-14-comparison/
Compare Python 3.12, 3.13, and 3.14 side by side. See what changed across free-threading, JIT, t-strings, performance, and library support plus which version you should actually use in 2026.
https://releaserun.com/python-3-12-vs-3-13-vs-3-14-comparison/
ReleaseRun
Python 3.12 vs 3.13 vs 3.14: Features, Performance, Which to Use
Compare Python 3.12, 3.13, and 3.14: free-threading, JIT, t-strings, performance, and library changes. Which version should you actually use in 2026?
Stop Building Ugly APIs: Use the Fluent Interface Pattern
The video walks through refactoring a small Python animation API from a clunky configuration style into a fluent interface that reads like a story using method chaining and domain specific methods. It also explains what the fluent interface pattern is, how it differs from the builder pattern, where it already appears in Python, and when it is appropriate or inappropriate to use.
https://www.youtube.com/watch?v=f1Nb_JV_s8Y
The video walks through refactoring a small Python animation API from a clunky configuration style into a fluent interface that reads like a story using method chaining and domain specific methods. It also explains what the fluent interface pattern is, how it differs from the builder pattern, where it already appears in Python, and when it is appropriate or inappropriate to use.
https://www.youtube.com/watch?v=f1Nb_JV_s8Y
YouTube
Stop Building Ugly APIs: Use the Fluent Interface Pattern
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I take a small but realistic Python animation API and refactor it step by step into a fluent interface that reads like a story instead of a configuration file.…
In this video, I take a small but realistic Python animation API and refactor it step by step into a fluent interface that reads like a story instead of a configuration file.…
memory_graph
Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.
https://github.com/bterwijn/memory_graph
Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.
https://github.com/bterwijn/memory_graph
GitHub
GitHub - bterwijn/memory_graph: Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep…
Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy. - bterwijn/memory_graph
Making Pyrefly Diagnostics 18x Faster
Learn about the recent performance improvements made to Pyrefly's language server capabilities.
https://pyrefly.org/blog/2026/02/06/performance-improvements/
Learn about the recent performance improvements made to Pyrefly's language server capabilities.
https://pyrefly.org/blog/2026/02/06/performance-improvements/
pyrefly.org
Making Pyrefly Diagnostics 18x Faster | Pyrefly
Learn about the recent performance improvements made to Pyrefly's language server capabilities