Math/Tech Study Guides

This section contains detailed step-by step guides as well as more discursive discussions on various topics related to software development, devops, mathematics, data science, machine learning and deep learning. The guides are designed to be practical and hands-on, with code examples and explanations.

Please note that while several links are already provided, most of the guides listed are currently under development. That is to say, I have the raw Claude version. But since I don't publish a guide until I have tested it myself and am satisfied with the content and its reliability, the content is hidden.

While I am in the process of building this site, the exception is the Comprehensive Franklin and GitHub Pages Guide, which is the guide I use as I am building this site, so I have exposed it even though it is not yet completely tested (since the site is not yet complete). Proceed with caution if you want to use it. When I am finished, I will remove this warning.

🚀 Setup & Development Guides

• Comprehensive Franklin and GitHub Pages Guide - Complete setup guide for Franklin.jl with Lanyon template and GitHub Pages deployment

• BFG Repository Cleaner Guide - How to clean Git repository history safely

• RAG (Retrieval-Augmented Generation) Guide - Implementation guide for RAG systems

🐍 Julia, Python, Data Science and ML/DL Development

• Complete Beginners Guide to Python and uv - A beginner-friendly guide to Python programming and the uv library

• Integrating UV Python Management with DrWatson - How to integrate UV Python management with DrWatson.jl for reproducible scientific projects