1140
News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
rags
Build ChatGPT over your data, all with natural language.
https://github.com/run-llama/rags
Rust std fs slower than Python
https://xuanwo.io/2023/04-rust-std-fs-slower-than-python/
Show HN: Python-Type-Challenges, master Python typing with online exercises
https://python-type-challenges.zeabur.app/
Building a Bootstrap styled form in vanilla Django
In this post, David Smith explores creating a Bootstrap-styled form in vanilla Django without relying on third-party packages. He discusses customizing form widgets, adding CSS classes, and creating a custom field template.
https://smithdc.uk/blog/2023/bootstrap_form_in_vanilla_django
ProAgent
From Robotic Process Automation to Agentic Process Automation.
https://github.com/OpenBMB/ProAgent
Untyped Python: The Python That Was
https://lucumr.pocoo.org/2023/12/1/the-python-that-was/
Spinning Up in Deep RL
An educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL).
https://spinningup.openai.com/en/latest/
sysaidmin
Sysaidmin is a GPT-powered sysadmin for your machine. You can ask it to solve a problem, and it will run commands on your system (with your permission) to debug what's going on.
https://github.com/skorokithakis/sysaidmin/
Robot Dad
This is an article about a father who created a chatbot named Robot Dad to answer his son’s questions. The chatbot is able to access and process information from the real world through Google Search. Robot Dad can also be used to translate languages.
https://blog.untrod.com/2023/11/robot-dad.html
yerfor / GeneFace
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
https://github.com/yerfor/GeneFace
self-operating-computer
A framework to enable multimodal models to operate a computer.
https://github.com/OthersideAI/self-operating-computer
pip.wtf
Inline dependencies for small Python scripts.
https://pip.wtf/
Generative AI for Beginners
A 12 Lesson course teaching everything you need to know to start building Generative AI applications.
https://microsoft.github.io/generative-ai-for-beginners/
Building a Neural Network with PyTorch
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.
https://haydenjames.io/building-a-neural-network-with-pytorch/
Python 3.12 Generic Types Explained
This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
https://www.youtube.com/watch?v=q6ujWWaRdbA
Python, Asyncio and Footguns
https://ryanc118.medium.com/python-asyncio-and-footguns-8ebdb4409122
LMQL — SQL for Language Models
https://towardsdatascience.com/lmql-sql-for-language-models-d7486d88c541
Skyfield: Elegant Astronomy for Python
https://rhodesmill.org/skyfield/
Subtitle
Open-source subtitle generation for seamless content translation.
https://github.com/innovatorved/subtitle
langchain-ai / langchain
⚡ Building applications with LLMs through composability ⚡
https://github.com/langchain-ai/langchain
Intro to Large Language Models
Andrej Karpathy's talk on introduction to Large Language Models covering the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm.
https://www.youtube.com/watch?v=zjkBMFhNj_g
edarchimbaud / awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
https://github.com/edarchimbaud/awesome-systematic-trading
Building a small REPL in Python
In a lot of my previous interpreter/compiler projects written in Python I hand-rolled a REPL (read-eval-print-loop). It turns out that Python comes with a bunch of batteries included and this is totally unnecessary—you get a lot of goodies for free. Let’s take a look at how to use them, starting from embedding a normal Python REPL in your project.
https://bernsteinbear.com/blog/simple-python-repl/
apple-home-key-reader
This project offers a demonstration of an Apple Home Key Reader built in Python.
https://github.com/kormax/apple-home-key-reader
AILab-CVC / VideoCrafter
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
https://github.com/AILab-CVC/VideoCrafter
easylkb
Easy Linux Kernel Builder.
https://github.com/deepseagirl/easylkb
Python Hub Weekly Digest for 2023-12-03
https://pythonhub.dev/digest/2023-12-03/
The Categories of Bugs in Python Apps
When writing a Python program, errors are inevitable. However, we can manage the types of errors we produce. Let’s explore a simple model categorizing these errors, from best to worst, and discuss how mindful tool usage can improve software quality.
https://threeofwands.com/the-types-of-errors-in-python-apps/
Azure-Samples / chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
Django 5.0 release candidate 1 released
https://www.djangoproject.com/weblog/2023/nov/20/django-50-rc1/