PythonHub

Blealtan / efficient-kan An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN). https://github.com/Blealtan/efficient-kan

Web Development with Htmx, Type-Guided Components, Pure Python https://getludic.dev/docs/

Pandora Towards General World Model with Natural Language Actions and Video States. https://github.com/maitrix-org/Pandora

Python notebooks for fundamentals of music processing https://www.audiolabs-erlangen.de/resources/MIR/FMP/C0/C0.html

Terminal Text Effects Visual effects applied to text in the terminal. https://github.com/ChrisBuilds/terminaltexteffects

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

MicroPython 1.23 Brings Custom USB Devices, OpenAMP, Much More https://hackaday.com/2024/06/02/micropython-1-23-brings-custom-usb-devices-openamp-much-more/

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/

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 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

Python Hub Weekly Digest for 2024-06-02 https://pythonhub.dev/digest/2024-06-02/

Working with Excel Files in Python https://www.python-excel.org/

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

What is your favorite Python-related YouTube channel? https://www.reddit.com/r/learnpython/comments/1cyeyp8/what_is_your_favorite_pythonrelated_youtube/

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/

cover-agent An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! https://github.com/Codium-ai/cover-agent

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

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

Kafka Consumers in Python - A Walkthrough Getting data out of Apache Kafka is easy if you know how, so let's go through an example step-by-step. In this walkthrough we take you through the process of creating a simple Kafka Consumer using the Quix Streams library. https://www.youtube.com/watch?v=eCsSAzTy5cE

A Beginner's Guide to Unit Testing with Pytest In this guide, we will explore the core principles of unit testing, delve into Pytest's powerful capabilities, and equip you with the knowledge and skills to write clean, maintainable, and effective tests. https://betterstack.com/community/guides/testing/pytest-guide/