Math/Tech Study Packages Documentation
This section showcases documentation from DrWatson.jl scientific projects. Each project focuses on a specific mathematical or technological topic with comprehensive code documentation, reproducible workflows, and detailed analysis. In general, these are based on textbooks and other resources related to the specific study topic.
Available Documentation
🔢 Math Foundations
Fundamental mathematical concepts which form the basis of advanced mathematical study and research.
Features: Basic Mathematics • Algebra • Geometry • Trigonometry
📊 Linear Algebra
Comprehensive linear algebra operations, transformations, and computational methods implemented in Julia.
Features: Matrix Operations • Transformations • Eigenvalue Problems
Documentation Features
All documentation sites include:
API References: Comprehensive function and type documentation
External References: Links to related resources and textbooks
Interactive Notebooks: Links to Jupyter notebooks with executable code examples
Mathematical Notation: LaTeX-rendered mathematical formulas and expressions
Extensive Documentation: In-depth explanations of concepts and implementations
Getting Started
To begin using these packages in your own Julia projects:
Install Julia: Download from julialang.org
Access Documentation: Click on any package above to explore its documentation
Installation Instructions: Each documentation site includes package installation guides
Examples: Start with the example notebooks available in each repository
This documentation is built using Documenter.jl and deployed automatically with each package update.
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