PythonHub
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News & links about Python programming.
https://pythonhub.dev/
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Gorilla

An API store for LLMs.

https://gorilla.cs.berkeley.edu/
cirediatpl / FigmaChain

FigmaChain is a set of Python scripts that generate HTML/CSS code based on Figma designs. Using OpenAI's GPT-3 model, FigmaChain enables developers to quickly generate HTML/CSS code from a Figma design input. It also includes a Streamlit-based chatbot interface for interactive code generation.

https://github.com/cirediatpl/FigmaChain
2023 State of Data + AI

This report provides insights into the evolving data landscape, highlighting the increasing importance of AI and machine learning and the challenges organizations face in harnessing the power of data for innovation and growth.

https://www.databricks.com/sites/default/files/2023-05/databricks-2023-state-of-data-report.pdf
Python adventures: Finding unused dependencies

The author discusses a Python script he created that helps identify and remove unused dependencies in Python projects, improving code efficiency and reducing unnecessary bloat. The post provides a step-by-step guide on how to use the script and highlights its benefits for developers.

https://www.nathanfurnal.xyz/posts/py-find-unused-deps/
IntelligenzaArtificiale / Free-Auto-GPT

Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.

https://github.com/IntelligenzaArtificiale/Free-Auto-GPT
Representing Monetary Values in Python

Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. This tutorial explores the various techniques and best practices for effectively working with money.

https://www.youtube.com/watch?v=0kzjD6jvfnk
Blazing Fast ETLs with Simultaneous MultiProcessing and MultiThreading

The post delves into the techniques and benefits of using simultaneous multiprocessing and multithreading for ETL (Extract, Transform, Load) processes. It explores how leveraging these parallel processing approaches can significantly improve the performance and efficiency of ETL tasks, resulting in faster data processing and enhanced overall productivity.

https://heyashy.medium.com/blazing-fast-etls-with-simultaneous-multiprocessing-and-multithreading-214865b56516