Scientific computation with Python (MAS2806)

These notes combine theoretical explanations with practical Python examples, making it easy to understand key numerical methods and how to implement them. Topics covered: • Python basics and scientific libraries (NumPy, Matplotlib) • Root-finding algorithms (bisection, Newton-Raphson) • Numerical integration (trapezoidal rule, Simpson’s rule) • Solving differential equations (Euler’s method) • Interpolation and curve fitting • Error analysis and stability • App...