Notebooks exploring the foundations.
A collection of Jupyter notebooks spanning mathematical methods, physical systems, cybernetic principles, and computational techniques. These are seeds — working notes, experiments, and reference material — not a finished curriculum.
The disciplines are entangled. Math informs physics. Physics constrains computation. Cybernetics reframes all three. These notebooks trace the connections rather than treating each domain in isolation.
Python Jupyter NumPy SciPy
math/— Linear algebra, differential equations, numerical methodsphysics/— Classical mechanics, electromagnetism, thermodynamicscybernetics/— Feedback systems, information theory, controlcs/— Algorithms, data structures, complexity
pip install jupyter numpy scipy matplotlib
jupyter notebook