PythonHub

Hatchet - a task queue for modern Python apps https://www.reddit.com/r/Python/comments/1k045yv/hatchet_a_task_queue_for_modern_python_apps/

Python Hub Weekly Digest for 2025-04-20 https://pythonhub.dev/digest/2025-04-20/

SQLActive - Asynchronous ActiveRecord-style wrapper for SQLAlchemy https://www.reddit.com/r/madeinpython/comments/1jo5m6j/sqlactive_asynchronous_activerecordstyle_wrapper/

Python Hub Weekly Digest for 2025-04-13 https://pythonhub.dev/digest/2025-04-13/

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

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/

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

meta-llama / llama-models Utilities intended for use with Llama models. https://github.com/meta-llama/llama-models

MedReason Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. https://github.com/UCSC-VLAA/MedReason

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

OpenAlgo Open Source Algo Trading Platform for Everyone. https://github.com/marketcalls/openalgo

VeOmni Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework. https://github.com/ByteDance-Seed/VeOmni

llm-compressor Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM. https://github.com/vllm-project/llm-compressor

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

curl-impersonate A special build of curl that can impersonate Chrome & Firefox. https://github.com/lwthiker/curl-impersonate

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

arxiv-mcp-server A Model Context Protocol server for searching and analyzing arXiv papers. https://github.com/blazickjp/arxiv-mcp-server

I made a simple Artificial Life simulation software with python https://www.reddit.com/r/Python/comments/1jwzv2h/i_made_a_simple_artificial_life_simulation/

nano-aha-moment Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs" https://github.com/McGill-NLP/nano-aha-moment

Reproducing word2vec with JAX This article reproduces the word2vec model using JAX, explaining the CBOW architecture and its implementation. It trains word embeddings and demonstrates how to find word similarities and analogies using the trained model, comparing it to modern text embeddings used in LLMs. https://eli.thegreenplace.net/2025/reproducing-word2vec-with-jax/