arxiv-mcp-server
A Model Context Protocol server for searching and analyzing arXiv papers.
https://github.com/blazickjp/arxiv-mcp-server
A Model Context Protocol server for searching and analyzing arXiv papers.
https://github.com/blazickjp/arxiv-mcp-server
GitHub
GitHub - blazickjp/arxiv-mcp-server: A Model Context Protocol server for searching and analyzing arXiv papers
A Model Context Protocol server for searching and analyzing arXiv papers - blazickjp/arxiv-mcp-server
memo
Memo is a simple command-line interface (CLI) tool for managing your Apple Notes (and eventually Apple Reminders). It’s written in Python and aims to offer a fast, keyboard-driven way to create, search, and organize notes and reminders straight from your terminal.
https://github.com/antoniorodr/memo
Memo is a simple command-line interface (CLI) tool for managing your Apple Notes (and eventually Apple Reminders). It’s written in Python and aims to offer a fast, keyboard-driven way to create, search, and organize notes and reminders straight from your terminal.
https://github.com/antoniorodr/memo
GitHub
GitHub - antoniorodr/memo: Memo is a simple command-line interface (CLI) tool for managing your Apple Notes and Apple Reminders.…
Memo is a simple command-line interface (CLI) tool for managing your Apple Notes and Apple Reminders. It’s written in Python and aims to offer a fast, keyboard-driven way to create, search, and org...
curl-impersonate
A special build of curl that can impersonate Chrome & Firefox.
https://github.com/lwthiker/curl-impersonate
A special build of curl that can impersonate Chrome & Firefox.
https://github.com/lwthiker/curl-impersonate
GitHub
GitHub - lwthiker/curl-impersonate: curl-impersonate: A special build of curl that can impersonate Chrome & Firefox
curl-impersonate: A special build of curl that can impersonate Chrome & Firefox - lwthiker/curl-impersonate
Code DeepSeek V3 From Scratch in Python
This video provides a comprehensive, step-by-step coding guide to understanding and implementing DeepSeek V3, a cutting-edge deep learning model. It covers key concepts like the attention mechanism, multihead latent attention (MLA), rotary positional embeddings (RoPE), and the mixture of experts (MoE) architecture, explaining the science behind it all.
https://www.youtube.com/watch?v=5avSMc79V-w
This video provides a comprehensive, step-by-step coding guide to understanding and implementing DeepSeek V3, a cutting-edge deep learning model. It covers key concepts like the attention mechanism, multihead latent attention (MLA), rotary positional embeddings (RoPE), and the mixture of experts (MoE) architecture, explaining the science behind it all.
https://www.youtube.com/watch?v=5avSMc79V-w
YouTube
Code DeepSeek V3 From Scratch in Python - Full Course
This course is a comprehensive guide to understanding and implementing DeepSeek V3, a cutting-edge deep learning model. @vukrosic shares step-by-step coding instructions and theoretical insights.
🔗 paper - https://arxiv.org/pdf/2412.19437
💻 https://git…
🔗 paper - https://arxiv.org/pdf/2412.19437
💻 https://git…
llm-compressor
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM.
https://github.com/vllm-project/llm-compressor
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM.
https://github.com/vllm-project/llm-compressor
GitHub
GitHub - vllm-project/llm-compressor: Transformers-compatible library for applying various compression algorithms to LLMs for optimized…
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM - vllm-project/llm-compressor
VeOmni
Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework.
https://github.com/ByteDance-Seed/VeOmni
Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework.
https://github.com/ByteDance-Seed/VeOmni
GitHub
GitHub - ByteDance-Seed/VeOmni: VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework
VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework - ByteDance-Seed/VeOmni
User Onboarding Tips and Tricks for Django Developers
This video explains how to implement anonymous onboarding in Django apps, allowing users to try the app without creating an account. It covers storing temporary data in the session and seamlessly transferring it to a user account once created, enhancing the initial user experience.
https://www.youtube.com/watch?v=gFnE6a9-kLw
This video explains how to implement anonymous onboarding in Django apps, allowing users to try the app without creating an account. It covers storing temporary data in the session and seamlessly transferring it to a user account once created, enhancing the initial user experience.
https://www.youtube.com/watch?v=gFnE6a9-kLw
YouTube
User Onboarding Tips and Tricks for Django Developers
In this video I run through some of the details of the onboarding flow for my new app, Life in Weeks, which one person said "made the difference between me trying it at all versus sending the app to a few friends."
The key is letting people play with the…
The key is letting people play with the…
MedReason
Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.
https://github.com/UCSC-VLAA/MedReason
Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.
https://github.com/UCSC-VLAA/MedReason
GitHub
GitHub - UCSC-VLAA/MedReason: MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs - UCSC-VLAA/MedReason
meta-llama / llama-models
Utilities intended for use with Llama models.
https://github.com/meta-llama/llama-models
Utilities intended for use with Llama models.
https://github.com/meta-llama/llama-models
GitHub
GitHub - meta-llama/llama-models: Utilities intended for use with Llama models.
Utilities intended for use with Llama models. Contribute to meta-llama/llama-models development by creating an account on GitHub.
Python 3.14 | Upcoming Changes
This video discusses the upcoming features, performance improvements, and other changes in Python 3.14, including the tail call interpreter, JIT compiler, and free threading. It also covers minor updates and deprecations, providing a comprehensive overview of the new release.
https://www.youtube.com/watch?v=hzys1_xmLPc
This video discusses the upcoming features, performance improvements, and other changes in Python 3.14, including the tail call interpreter, JIT compiler, and free threading. It also covers minor updates and deprecations, providing a comprehensive overview of the new release.
https://www.youtube.com/watch?v=hzys1_xmLPc
YouTube
Python 3.14. What's new?
So, in one month Python 3.14b1 will be released, and in this video I'll show you off most of the important changes that's coming.
00:00 - Intro
00:10 - Schedule
00:26 - PEP 765
01:30 - PEP 648
02:16 - PEP 758
02:45 - Performance
04:12 - Tail-call interpreter…
00:00 - Intro
00:10 - Schedule
00:26 - PEP 765
01:30 - PEP 648
02:16 - PEP 758
02:45 - Performance
04:12 - Tail-call interpreter…
How to Extract GPS Coordinates from a Photo: The USAID Mystery
This post explains how to extract GPS coordinates from a photo using Python and plot them on a map, using libraries like Pillow, ExifRead, and Folium. It challenges the reader to analyze the location of a USAID nutrition pack to determine if the aid is being distributed appropriately.
https://www.marsja.se/how-to-extract-gps-coordinates-from-a-photo-the-usaid-mystery/
This post explains how to extract GPS coordinates from a photo using Python and plot them on a map, using libraries like Pillow, ExifRead, and Folium. It challenges the reader to analyze the location of a USAID nutrition pack to determine if the aid is being distributed appropriately.
https://www.marsja.se/how-to-extract-gps-coordinates-from-a-photo-the-usaid-mystery/
Erik Marsja
How to Extract GPS Coordinates from a Photo: The USAID Mystery
We used Python to uncover where a USAID nutrition pack ended up—learn how to extract GPS data from photos and map it step-by-step.
open-rag-eval
Evaluate and improve your Retrieval-Augmented Generation (RAG) pipelines with open-rag-eval, an open-source Python evaluation toolkit.
https://github.com/vectara/open-rag-eval
Evaluate and improve your Retrieval-Augmented Generation (RAG) pipelines with open-rag-eval, an open-source Python evaluation toolkit.
https://github.com/vectara/open-rag-eval
GitHub
GitHub - vectara/open-rag-eval: Open source RAG evaluation package
Open source RAG evaluation package. Contribute to vectara/open-rag-eval development by creating an account on GitHub.
SQLActive - Asynchronous ActiveRecord-style wrapper for SQLAlchemy
https://www.reddit.com/r/madeinpython/comments/1jo5m6j/sqlactive_asynchronous_activerecordstyle_wrapper/
https://www.reddit.com/r/madeinpython/comments/1jo5m6j/sqlactive_asynchronous_activerecordstyle_wrapper/
Reddit
From the madeinpython community on Reddit: SQLActive - Asynchronous ActiveRecord-style wrapper for SQLAlchemy
Explore this post and more from the madeinpython community
Maps with Django: GeoDjango, Pillow & GPS
A quick-start guide to create a web map with images, using the Python-based Django web framework, leveraging its GeoDjango module, and Pillow, the Python imaging library, to extract GPS information from images.
https://www.paulox.net/2025/04/11/maps-with-django-part-3-geodjango-pillow-and-gps/
A quick-start guide to create a web map with images, using the Python-based Django web framework, leveraging its GeoDjango module, and Pillow, the Python imaging library, to extract GPS information from images.
https://www.paulox.net/2025/04/11/maps-with-django-part-3-geodjango-pillow-and-gps/
Paolo Melchiorre
Maps with Django⁽³⁾: GeoDjango, Pillow & GPS
A quick-start guide to create a web map with images, using the Python-based Django web framework, leveraging its GeoDjango module, and Pillow, the Python imaging library, to extract GPS information from images.
Vscode Vs Cursor: Which One Should You Use In 2025?
Compare VS Code and Cursor in 2025 to find the best code editor for speed, AI features, and productivity.
https://keploy.io/blog/community/vscode-vs-cursor
Compare VS Code and Cursor in 2025 to find the best code editor for speed, AI features, and productivity.
https://keploy.io/blog/community/vscode-vs-cursor
keploy.io
VSCode vs Cursor in 2025: Which Code Editor Should You Use?
Compare VS Code vs Cursor in 2025. Discover which code editor suits your workflow best—AI-powered Cursor or the classic, customizable VS Code.
IntentKit
An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!
https://github.com/crestalnetwork/intentkit
An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both!
https://github.com/crestalnetwork/intentkit
GitHub
GitHub - crestalnetwork/intentkit: An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch…
An open and fair framework for everyone to build AI agents equipped with powerful skills. Launch your agent, improve the world, your wallet, or both! - crestalnetwork/intentkit