Introducing DjangoVer

The article introduces DjangoVer, a versioning system for Django-related packages that aligns the package version with the latest supported Django feature release. It provides clarity on compatibility, signaling maintenance and compatibility status through the version number while addressing limitations of traditional versioning systems like Semantic Versioning.

https://www.b-list.org/weblog/2024/nov/18/djangover/

Is async django ready for prime time?

Explore async Django's readiness for production use, its benefits, challenges, and how AI workloads can leverage its capabilities effectively.

https://jonathanadly.com/is-async-django-ready-for-prime-time

EasyAnimate

An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion.

https://github.com/aigc-apps/EasyAnimate

Is Python Really That Slow?

The post explores Python's perceived slowness, highlighting that it stems from its interpreted nature and focus on developer productivity rather than raw performance. By leveraging tools like C extensions, async programming, or just-in-time compilers, developers can often overcome performance concerns effectively.

https://blog.miguelgrinberg.com/post/is-python-really-that-slow

MagicQuill

An Intelligent Interactive Image Editing System.

https://github.com/magic-quill/MagicQuill

Deply

Keep your Python architecture clean.

https://github.com/Vashkatsi/deply

Ultravox

A fast multimodal LLM for real-time voice.

https://github.com/fixie-ai/ultravox

PacktPublishing / LLM-Engineers-Handbook

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

https://github.com/PacktPublishing/LLM-Engineers-Handbook

garak

garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.

https://github.com/NVIDIA/garak

LAMBDA

A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox.

https://github.com/zycyc/LAMBDA

Final Encoding in RPython Interpreters

The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython.

https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html

open-notebook

An Open Source implementation of Notebook LM with more flexibility and features.

https://github.com/lfnovo/open-notebook

Python Tutorial: Stock Trading Bot

This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis.

https://www.youtube.com/watch?v=O3O1z5hTdUM

boltz

Democratizing Biomolecular Interaction Modeling.

https://github.com/jwohlwend/boltz

FireDucks

Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.

https://fireducks-dev.github.io/

letta-ai / letta

Letta (formerly MemGPT) is a framework for creating LLM services with memory.

https://github.com/letta-ai/letta

Ollama Course – Build AI Apps Locally

Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs.

https://www.youtube.com/watch?v=GWB9ApTPTv4