A Python utility designed to generate large, customizable datasets of random numbers.
I built this tool to assist with mathematical testing, specifically for analyzing convergence patterns related to Kaprekar's constant (6174). The standard libraries didn't offer the specific formatting or volume control I needed for rapid iteration, so I wrote this script to handle the data generation.
This repository utilizes a GitHub Actions workflow to generate datasets in the cloud.
- Trigger: The workflow runs automatically on push [or specify: on a schedule/manually via the Actions tab].
- Output: The script generates a new dataset and automatically commits the results directly to this repository.
- Location: Check the latest commit history or the root directory for the updated output file.
To generate numbers on your local machine:
python main.py