Big data portfolio

This repository contains a collection of all the activities related to big data, like pandas, numpy, matplotlib, seaborn, plotly, and many more.

Requirements

This project uses 'uv' to manage the dependencies. You can install it using curl:

curl -LsSf https://astral.sh/uv/install.sh | sh

Also, it doesn't use .ipynb files, but instead .py files that are interpreted by ipython as notebooks, where each cell is separated by # %%. To run the files, you need to have a way to parse them and execute them. Heavily recommended using nvim and iron.nvim to run these files.

Commands (iron.nvim)

• <space>rr: Starts/ends the Replyt session.
• <space>sb: Sends the current cell to the Replyt session.
• <space>sl: Sends the current line to the Replyt session.