Data analysis and reporting tool for quick access to custom charts and tables in Jupyter Notebooks and in the shell.

Repository of web and code editor friendly Observable Data Toools 🛠️ and Notebooks 📚 in .js, .nb.json, .ojs, .omd, .html and .qmd document formats for Data Previews in a browser and in VSCode IDE with Observable JS extension, Quarto extension, and new Quarto publishing tools.

An example of MiniQL in a JavaScript Notebook

This repository contains analysis done with spark dataframe in Google Cloud Platform using Zeppelin Notebook and HDFS

This notebook implements a basic attention mechanism to demonstrate its functionality using a simple RGB matrix as an input. It includes steps for creating random matrices for RGB channels, computing attention weights, and applying the attention mechanism in a simulated environment.