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Composition over inheritance: The case for function-based views The author shares some of his thoughts re. function- vs class-based views in Django. https://406.ch/writing/composition-over-inheritance-the-case-for-function-based-views/

How to implement CommandBus in Python CommandBus is a communication mechanism used to decouple the sender of a command from its handler or executor. It is a part of the Command Pattern and is commonly used in applications that follow the CQRS (Command Query Responsibility Segregation) pattern or other similar architectural styles. This article provides a comprehensive guide on implementing the CommandBus in Python https://blog.szymonmiks.pl/p/how-to-implement-commandbus-in-python/

hegelai / prompttools Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). https://github.com/hegelai/prompttools

facefusion Next generation face swapper and enhancer. https://github.com/facefusion/facefusion

Understanding Immortal Objects in Python 3.12: A Deep Dive into Python Internals A detailed examination of Python 3.12's internal changes featuring the concept of 'immortal' objects, for performance enhancements https://codeconfessions.substack.com/p/understanding-immortal-objects-in

Understanding Automatic Differentiation in 30 lines of Python https://vmartin.fr/understanding-automatic-differentiation-in-30-lines-of-python.html

Asyncio, twisted, tornado, gevent walk into a bar... SummaryConcurrency has a lot to do with sharing one resource, and Python has dedicated tools to ... https://www.bitecode.dev/p/asyncio-twisted-tornado-gevent-walk

Build Apps in Python with Dara https://www.reddit.com/r/Python/comments/1614om5/build_apps_in_python_with_dara/

nl2query A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries. https://github.com/Chirayu-Tripathi/nl2query

VisionScript A high-level programming language for using computer vision. https://github.com/capjamesg/visionscript

GPU-Accelerated, Deterministic ML Dev Environments with Docker and CUDA A Better Way to Build Your AI Enhanced Project. https://www.makeartwithpython.com/blog/developing-machine-learning-applications/

Collection of stand-alone Python machine learning recipes (2021) https://github.com/rougier/ML-Recipes

Development with Large Language Models Tutorial – OpenAI, Langchain, Agents, Chroma Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers. https://www.youtube.com/watch?v=xZDB1naRUlk

Shell-AI Shell-AI (shai) is a CLI utility that brings the power of natural language understanding to your command line. Simply input what you want to do in natural language, and shai will suggest single-line commands that achieve your intent. https://github.com/ricklamers/shell-ai

Containerized PDF Summarizer with FastAPI and Hamilton A quick guide to building a PDF Summarizer (using OpenAI) with Hamilton, FastAPI and Streamlit. https://blog.dagworks.io/p/containerized-pdf-summarizer-with

OpenAgent OpenAgent is a library of modular components and an orchestration framework. Inspired by a microservices approach, it gives developers all the components they need to build robust, stable & reliable AI applications and experimental autonomous agents. https://github.com/dot-agent/openagent

How to Use Symbolic Python to Solve and Simulate Dynamical Systems https://neil-sawhney.com/articles/dynamics-simulations/

How CPython Implements Reference Counting: Dissecting CPython Internals https://codeconfessions.substack.com/p/cpython-reference-counting-internals

Error Handling: From Charles Babbage to Python 3.11 This talk introduces the new error handling features of Python 3.11, while placing them within their historical perspective. https://www.youtube.com/watch?v=rKBKHVvXuUI

Pipeless An open source multimedia framework to build and deploy computer perception apps in minutes without worrying about multimedia pipelines. https://github.com/miguelaeh/pipeless