Experiments with Advanced Techniques in Scientific Computing
Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
Course material for MATH405/607E
Introduction to Numerical Methods and Statistics with Jupyter Notebooks & Python
Basic Linear Algebra for Machine Learning
Type-hinted, simplified interface to `sympy` for solving engineering, science and maths problems.
Computational Methods Course at UdeA. Forked and size reduced from:
Lectures on scientific computing with python, as IPython notebooks.
IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.