Scientific Computing: Python Hacking for Math JunkiesContents: Python programs, iPython notebooks, expressions, statements, types, lists, arrays, functions, classes, plotting, list comprehension, recursion. Applications include linear systems, computational geometry, root finding, interpolation, polynomial least squares, discrete systems, differential equations, principal component analysis, singular value decomposition, fractals, chaos, and satellite orbit propagation. Also covers numpy, plotting with