What question did this study set out to answer?

To demonstrate the industrial nature of the Voynich Manuscript using algorithmic, topological, and thermodynamic methods.

March 28, 2026Open Access

Voynich Manuscript SOP Decoder — Supplementary Code

Key Points

To demonstrate the industrial nature of the Voynich Manuscript using algorithmic, topological, and thermodynamic methods.
Developed Python scripts for analysis.
Embedded text arrays contain necessary raw data.
Executed scripts in Google Colab for cloud functionality.
Scripts designed for compatibility with Jupyter Notebook.
Demonstrated the industrial nature of the Voynich Manuscript through algorithmic processes.
Verified the functionality of scripts in executing tests successfully in the cloud environment.

Abstract

This paper presents the Python scripts used for the algorithmic, topological, and thermodynamic demonstration of the industrial nature of the Voynich Manuscript. Each script is entirely self-contained, includes all necessary raw data (embedded text arrays), and has been successfully tested and executed in the Google Colab cloud environment. You may copy any of the code blocks provided below and reproduce the results directly in your browser (via Google Colab) or in your local environment (e.g., Jupyter Notebook).

Voynich Manuscript SOP Decoder — Supplementary Code

Key Points

Abstract

Cite This Study