Sniffly
Claude Code dashboard with usage stats, error analysis, and sharable feature.
https://github.com/chiphuyen/sniffly
Claude Code dashboard with usage stats, error analysis, and sharable feature.
https://github.com/chiphuyen/sniffly
GitHub
GitHub - chiphuyen/sniffly: Claude Code dashboard with usage stats, error analysis, and sharable feature
Claude Code dashboard with usage stats, error analysis, and sharable feature - chiphuyen/sniffly
Python AI Agents: Overview to Generative AI and Intro to Agents
Glenn Mossy, an AI Solutions Architect, presents an overview of generative AI and introduces Python AI agents, discussing how these technologies are automating tasks and transforming industries, with specific examples including an advanced calculator agent and a file system organizer. The session aims to be accessible for both beginners and experienced coders, highlighting the ongoing ev...
https://www.youtube.com/watch?v=2JPazei9e9Q
Glenn Mossy, an AI Solutions Architect, presents an overview of generative AI and introduces Python AI agents, discussing how these technologies are automating tasks and transforming industries, with specific examples including an advanced calculator agent and a file system organizer. The session aims to be accessible for both beginners and experienced coders, highlighting the ongoing ev...
https://www.youtube.com/watch?v=2JPazei9e9Q
YouTube
Python AI Agents: Overview to Generative AI and Intro to Agents
Glenn will start by providing an overview of Generative AI, a groundbreaking technology that enables machines to produce human-like text, images, and even code. This innovation is transforming various industries by automating tasks, enhancing creativity,…
UQLM
UQLM is a Python library for Large Language Model (LLM) hallucination detection using state-of-the-art uncertainty quantification techniques.
https://github.com/cvs-health/uqlm
UQLM is a Python library for Large Language Model (LLM) hallucination detection using state-of-the-art uncertainty quantification techniques.
https://github.com/cvs-health/uqlm
GitHub
GitHub - cvs-health/uqlm: UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination…
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection - cvs-health/uqlm
UV is helping me slowly get rid of bad practices and improve company’s internal tooling.
https://www.reddit.com/r/Python/comments/1mcgsxr/uv_is_helping_me_slowly_get_rid_of_bad_practices/
https://www.reddit.com/r/Python/comments/1mcgsxr/uv_is_helping_me_slowly_get_rid_of_bad_practices/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
QwenLM / Qwen3-Coder
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
https://github.com/QwenLM/Qwen3-Coder
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
https://github.com/QwenLM/Qwen3-Coder
GitHub
GitHub - QwenLM/Qwen3-Coder: Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team,…
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen3-Coder
Fully Homomorphic Encryption and the Dawn of A Truly Private Internet
Fully Homomorphic Encryption (FHE) allows computation on encrypted data and is becoming ~8× faster each year. It could enable a privacy-by-default internet, powering secure cloud and AI services without exposing user data.
https://bozmen.io/fhe
Fully Homomorphic Encryption (FHE) allows computation on encrypted data and is becoming ~8× faster each year. It could enable a privacy-by-default internet, powering secure cloud and AI services without exposing user data.
https://bozmen.io/fhe
Fully Homomorphic Encryption and the Dawn of A Truly Private Internet
Barış Özmen Blog
A Python dict that can report which keys you did not use
https://www.peterbe.com/plog/a-python-dict-that-can-report-which-keys-you-did-not-use
https://www.peterbe.com/plog/a-python-dict-that-can-report-which-keys-you-did-not-use
Peterbe
A Python dict that can report which keys you did not use - Peterbe.com
Demonstrates a very basic way, in Python, how to know which fields of a dict you never accessed.
passage-of-time-mcp
An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.
https://github.com/jlumbroso/passage-of-time-mcp
An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.
https://github.com/jlumbroso/passage-of-time-mcp
GitHub
GitHub - jlumbroso/passage-of-time-mcp: 🤖🕰️ An MCP server that gives language models temporal awareness and time calculation abilities.…
🤖🕰️ An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development. - jlumbro...
3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs
NVIDIA shows how switching from pandas to GPU-accelerated cuDF made slow data workflows run up to 30× faster. Common tasks like time-series analysis and dashboard filtering became near-instant with minimal code changes.
https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus/
NVIDIA shows how switching from pandas to GPU-accelerated cuDF made slow data workflows run up to 30× faster. Common tasks like time-series analysis and dashboard filtering became near-instant with minimal code changes.
https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus/
NVIDIA Technical Blog
3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs
If you work with pandas, you’ve probably hit the wall. It’s that moment when your trusty workflow, so elegant on smaller datasets, grinds to a halt on a large one. A script that once took seconds now…
Announcing Toad - a universal UI for agentic coding in the terminal
Will McGugan announces Toad, a new universal terminal UI for AI coding agents built with Textual, offering a flicker-free and interactive experience compared to existing tools. Toad will be open source, supports any backend language, and uses JSON for communication between frontend and backend.
https://willmcgugan.github.io/announcing-toad/
Will McGugan announces Toad, a new universal terminal UI for AI coding agents built with Textual, offering a flicker-free and interactive experience compared to existing tools. Toad will be open source, supports any backend language, and uses JSON for communication between frontend and backend.
https://willmcgugan.github.io/announcing-toad/
Will McGugan
Announcing Toad - a universal UI for agentic coding in the terminal
I’m a little salty that neither Anthropic nor Google reached out to me before they released their terminal-based AI coding agents.
Python Tutorial: Type Hints - From Basic Annotations to Advanced Generics
Corey Schafer explains Python’s type hints, from basic function annotations to advanced features like generics, with practical examples showing their benefits for code clarity, early bug detection, and IDE support. He highlights that type hints are optional and flexible, letting you gradually adopt them in your projects.
https://www.youtube.com/watch?v=RwH2UzC2rIo
Corey Schafer explains Python’s type hints, from basic function annotations to advanced features like generics, with practical examples showing their benefits for code clarity, early bug detection, and IDE support. He highlights that type hints are optional and flexible, letting you gradually adopt them in your projects.
https://www.youtube.com/watch?v=RwH2UzC2rIo
YouTube
Python Tutorial: Type Hints - From Basic Annotations to Advanced Generics
In this video, we'll be learning how to use Type Hints in Python to write self-documenting code, catch bugs earlier, and improve IDE completions. We'll start with basic type annotations for variables and functions, then progress to more advanced concepts…
Django: iterate through all registered URL patterns
Adam Johnson demonstrates a Python generator function that recursively traverses Django’s URLResolver structure to enumerate all registered URLPattern objects, including those in nested namespaces. He shows how this can be used for tasks like auditing registered views or writing tests to ensure all class-based views inherit from a specific base class.
https://adamj.eu/tech/2025/07/22/django-iterate-url-patterns/
Adam Johnson demonstrates a Python generator function that recursively traverses Django’s URLResolver structure to enumerate all registered URLPattern objects, including those in nested namespaces. He shows how this can be used for tasks like auditing registered views or writing tests to ensure all class-based views inherit from a specific base class.
https://adamj.eu/tech/2025/07/22/django-iterate-url-patterns/
adamj.eu
Django: iterate through all registered URL patterns - Adam Johnson
I’ve found it useful, on occasion, to iterate through all registered URL patterns in a Django project. Sometimes this has been for checking URL layouts or auditing which views are registered.