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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
Big Tech Best Practices
https://www.reddit.com/r/Python/comments/1h3jize/big_tech_best_practices/
Protocols vs Abstract Base Classes in Python
https://www.reddit.com/r/Python/comments/1h3rmn5/protocols_vs_abstract_base_classes_in_python/
fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.
https://github.com/circlemind-ai/fast-graphrag
Let's build a AI Photo Generator with Python and FastAPI
This course teaches how to fine-tune the Flux AI model using Replicate to create personalized image generation. It also covers building a FastAPI service to access and utilize this model efficiently.
https://www.youtube.com/watch?v=lV82LDKT16A
Abusing Talon to use my eye tracker in a project
The author describes how they used Talon, a voice control software, to access eye tracker data for a game project. They created a Python script within Talon to expose eye gaze data via a local web server, allowing integration with a Rust program
https://ntietz.com/blog/abusing-talon-eyetracker/
The Best No-Nonsense VSCode Setup for Python Devs
Setting up VSCode for Python development doesn't have to be a headache! This video walks you through a complete and practical VSCode setup that tackles common pain points—like missing imports, mismatched Python versions, and pytest issues with finding tests.
https://www.youtube.com/watch?v=PwGKhvqJCQM
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
letta-ai / letta
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
https://github.com/letta-ai/letta
FireDucks
Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API.
https://fireducks-dev.github.io/
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
open-notebook
An Open Source implementation of Notebook LM with more flexibility and features.
https://github.com/lfnovo/open-notebook
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
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
Ultravox
A fast multimodal LLM for real-time voice.
https://github.com/fixie-ai/ultravox
MagicQuill
An Intelligent Interactive Image Editing System.
https://github.com/magic-quill/MagicQuill
Constraints are Good: Python's Metadata Dilemma
Some of the issues of why Python packaging is unnecessarily hard.
https://lucumr.pocoo.org/2024/11/26/python-packaging-metadata/
smollm
Everything about the SmolLM & SmolLM2 family of models.
https://github.com/huggingface/smollm
ridgeplot
Beautiful ridgeline plots in Python.
https://github.com/tpvasconcelos/ridgeplot
Hiding a message in my PyTorch weights
This post explains how to embed an arbitrary message into a tensor that contains floating-point numbers, and how to detect the presence of such a message.
https://blog.gabornyeki.com/2024-11-hiding-a-message-in-my-pytorch-weights/
Promptic
Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.
https://github.com/knowsuchagency/promptic
bionemo-framework
A framework for building and adapting AI models in drug discovery at scale.
https://github.com/NVIDIA/bionemo-framework
Python Hub Weekly Digest for 2024-12-01
https://pythonhub.dev/digest/2024-12-01/
Bagels - Expense tracker that lives in your terminal (TUI)
https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/
boltz
Democratizing Biomolecular Interaction Modeling.
https://github.com/jwohlwend/boltz
Am I the only one who forgets everyday how to plot on matplotlib?
https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/
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
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
Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies
https://www.reddit.com/r/Python/comments/1gyoi7n/benchmark_duckdb_polars_pandas_arrow_sqlite/
Deply
Keep your Python architecture clean.
https://github.com/Vashkatsi/deply
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