Python Weekly (Issue 678 November 28 2024)

Python Weekly - Issue 678

November 28, 2024

Python Weekly

Welcome to issue 678 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

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.

In this second part, we’ll delve into the building and publishing part of the workflow. We’re going to follow a similar structure as in the first article where we first present the high-level overview of the concepts and we illustrate them using uv then we cover the in-depth details by studying the related PEPs and specifications.

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.

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. 

Some of the issues of why Python packaging is unnecessarily hard.

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

How I learned to stop worrying and love Streamlit's execution model.

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. 

Interesting Projects, Tools and Libraries

A natural language interface for computers.

Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows.

Powerful expense tracker that lives in your terminal.

A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from various relevant websites and do research for you all on its own! And more, not limited to but including saving the findings for you!

A high performance caching library for Python written in Rust.

A framework for building and adapting AI models in drug discovery at scale.

Everything about the SmolLM & SmolLM2 family of models.

An Open Large Reasoning Model for Real-World Solutions.

Promptic aims to be the "requests" of LLM development -- the most productive and pythonic way to build LLM applications.

Simple, unified interface to multiple Generative AI providers.

Open Jupyter notebooks from GitHub repositories or URLs directly in Jupyter.

Beautiful ridgeline plots in Python.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Upcoming Events and Webinars

The event features talks, panels, and networking opportunities focused on Python development and career growth.

There will be a talk, Simplifying Python Development with uv.

There will be a talk, Transforming Language Understanding Using Generative AI.

There will be a talk, Simplifying Python Development with uv.

  • Fantastic FastAPI features you want to use

  • AI case-study of scoris.lt

There will be following talks

  • Beyond Traditional Recommenders: Leveraging Graph Neural Networks for Food Delivery Platforms

  • Building Seamless Pipelines with DBT and Python

There will be following talks

  • Boosting Time Series Accuracy: The Power of Ensemble Methods

  • Unleashing Confidence in SQL Development through Unit Testing

There will be following talks

  • Processing problematic plants with Python

  • Beyond Accuracy: Engineering EU-Compliant LLM Systems

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