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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
MicroRabbit
A lightweight, asynchronous Python framework for RabbitMQ that simplifies building microservices and distributed systems. Features include easy message routing, plugin support, and intuitive client configuration.
https://github.com/TonnoBelloSnello/microrabbit
Elixir basics for Pythonistas
The article provides a comprehensive introduction to Elixir for Python developers, covering key concepts and syntax differences between the two languages. It explores Elixir's functional programming paradigm, pattern matching, concurrency model, and other distinctive features, offering practical examples and comparisons to help Pythonistas transition to Elixir programming.
https://gogacodes.notion.site/Elixir-basics-for-Pythonistas-8afc4245034d4df9a3bc6fd646d739bf
Gigi
A framework for rapid prototyping and development of real-time rendering techniques.
https://github.com/electronicarts/gigi
Sapiens
High-resolution models for human tasks.
https://github.com/facebookresearch/sapiens
Taichi: Productive, portable, and performant GPU programming in Python
https://github.com/taichi-dev/taichi
LabelU
Data annotation toolbox supports image, audio and video data.
https://github.com/opendatalab/labelU
I switched from full stack to streamlit/python and it reduced my development time to 2 weeks !
https://www.reddit.com/r/Python/comments/1f07c7d/i_switched_from_full_stack_to_streamlitpython_and/
How to build a query language in Python
The article discusses the complexities and challenges of building a custom query language, highlighting key considerations such as syntax design, parsing, and execution. It provides insights and practical tips for developers looking to create or improve their own query languages.
https://jamesg.blog/2024/08/17/build-a-query-language/
Try LangChain with Python and Upstash Vector
The video covers setting up a Lang chain for custom data sets using a variety of tools like Python, Jupyter, and OpenAI, demonstrating API creation, embedding models, and vector database integration. It also discusses implementing rate limiting in a FastAPI application and setting up agents for querying and handling data.
https://www.youtube.com/watch?v=FjKMnszG8Dk
PromptMage - simplifies the process of creating and managing LLM workflows
"PromptMage" is designed to offer an intuitive interface that simplifies the process of creating and managing LLM workflows. It facilitates prompt testing and comparison, and version control.
https://github.com/tsterbak/promptmage
Saving Scrapy Crawl Stats to PostgreSQL with a Custom Extension and SQLAlchemy
The post explains how to extend Scrapy to save crawl statistics directly into a PostgreSQL database, detailing the implementation process and configuration needed. It provides a guide for integrating Scrapy with PostgreSQL to enhance data management and analysis.
https://www.xiegerts.com/post/scrapy-extension-save-crawlstats-postgres/
Pare
Pare is the easiest way to deploy Python Lambdas alongside your primary web application.
https://github.com/gauge-sh/pare
Python Hub Weekly Digest for 2024-08-25
https://pythonhub.dev/digest/2024-08-25/
Cloudflare R2 x Django. Static Files. User uploads, css, images, js and more. Production-ready.
The video covers setting up and managing Django files, including static and user-uploaded files, using Cloudflare's R2 object storage. It emphasizes best practices for configuring environment variables, securing API keys, and managing static and media files in Django with advanced validation and customization options.
https://www.youtube.com/watch?v=VU3MAN1gs1s
LaunchFlow
Deploy production grade application to AWS and GCP in minutes.
https://github.com/launchflow/launchflow
How to Build Chatbots With LangChain
Discover how LangChain lets chatbots interact with LLMs, and follow this guide to build a context-aware chatbot that delivers accurate, relevant responses.
https://blog.jetbrains.com/pycharm/2024/08/how-to-build-chatbots-with-langchain/
Escaping from Anaconda (Python)
https://paulromer.net/escaping-from-anaconda/
Python Hub Weekly Digest for 2024-09-01
https://pythonhub.dev/digest/2024-09-01/
Py5, a Python version of Processing for your creative coding projects
http://py5coding.org/index.html
Qik
Qik is a command runner that understands the import graph, allowing you to cache commands and only run the things that matter. Can dramatically speed up CI/dev in large monorepos.
https://github.com/Opus10/qik
RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
https://github.com/NirDiamant/RAG_Techniques
Rye and Uv: August Is Harvest Season for Python Packaging
https://lucumr.pocoo.org/2024/8/21/harvest-season/
llmio
A Lightweight Library for LLM I/O.
https://github.com/badgeir/llmio
Python's Preprocessor
Every now and then you hear outrageous claims such as “Python has no preprocessor”. This is simply not true. In fact, Python has the best preprocessor of all languages - it quite literally allows us to do whatever we want, and a lot more. It’s just a little tricky to (ab)use.
https://pydong.org/posts/PythonsPreprocessor/
OpenBB-finance / OpenBB
Investment Research for Everyone, Everywhere.
https://github.com/OpenBB-finance/OpenBB
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation
The video explains how to code a visual language model from scratch using PyTorch, covering topics such as vision transformers, contrastive learning, and language models. It provides a detailed walkthrough of implementing various components, including the vision encoder, language model, and how to combine image and text embeddings, with explanations of key concepts like attention mechani...
https://www.youtube.com/watch?v=vAmKB7iPkWw
Gemma for Streaming ML with Dataflow
The article demonstrates how to integrate Google's Gemma 2 language model into a Dataflow pipeline for real-time sentiment analysis and response generation in customer support chats. It provides a practical example of using Gemma to process streaming data, including code snippets for creating prompts, running inference, and handling model outputs within a scalable data processing framework.
https://developers.googleblog.com/en/gemma-for-streaming-ml-with-dataflow/
What are data structures anyway?
https://www.reddit.com/r/learnpython/comments/1ev5195/what_are_data_structures_anyway/
EDSL
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
https://github.com/expectedparrot/edsl