Simple Pretty Maps That Will Better Your Python Streamlit Skills

A simple tutorial on creating beautiful maps using the prettymapp library.

https://johnloewen.substack.com/p/simple-pretty-maps-that-will-better

AgentOps

Open source Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen.

https://github.com/AgentOps-AI/agentops

cover-agent

An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement!

https://github.com/Codium-ai/cover-agent

Curating Custom Datasets for LLM Training with NVIDIA NeMo Curator

NeMo Curator, which is part of NVIDIA NeMo, offers workflows to download and curate data from various public sources out of the box such as Common Crawl, Wikipedia, and arXiv. It also provides flexibility for developers to customize data curation pipelines to address their unique requirements and create custom datasets. This post walks you through creating a custom data curation pipeline...

https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-training-with-nvidia-nemo-curator/

Signals, shells, and docker: an onion of footguns

The post discusses potential security risks and "footguns" that can arise when using Docker containers, signals, and shells together in a development environment. It highlights how certain combinations of these tools can inadvertently grant excessive permissions or expose sensitive data, emphasizing the need for caution and proper configuration.

https://benchling.engineering/signals-shells-and-docker-an-onion-of-footguns-ee592e2b587b

How Python Compares Floats and Ints: When Equals Isn’t Really Equal

Another Python gotcha and an investigation into its internals to understand why this happens.

https://blog.codingconfessions.com/p/how-python-compares-floats-and-ints

Gloe

Gloe is a general-purpose library made to help developers create, maintain, document, and test both operational and flow-oriented code.

https://github.com/ideos/gloe

How good is GPT-4o at generating Flask apps? Surprisingly promising

This article summarizes the findings when asking GPT-4o to generate Flask applications, ranging from a simple "Hello, World!" app to a full-fledged CRUD app with three database models and HTML pages with Tailwind. With careful prompting, GPT-4o can produce working Flask applications and follow (some) best coding practices.

https://ploomber.io/blog/gpt-4o-flask/

Koheesio

Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.

https://github.com/Nike-Inc/koheesio

Terminal Text Effects

Visual effects applied to text in the terminal.

https://github.com/ChrisBuilds/terminaltexteffects

Pandora

Towards General World Model with Natural Language Actions and Video States.

https://github.com/maitrix-org/Pandora

Blealtan / efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

https://github.com/Blealtan/efficient-kan

google-deepmind / alphafold

Open source code for AlphaFold.

https://github.com/google-deepmind/alphafold

mistral-finetune

mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models.

https://github.com/mistralai/mistral-finetune

Fire Up Your Logging Needs with Pydantic Logfire

The pydantic team recently introduced logfire, a new logging tool that makes it easy to track and analyze your logs. Simply integrate logfire into your projects with just a few lines of code.

https://kadermiyanyedi.medium.com/fire-up-your-logging-needs-with-logfire-6330d7a08dfe