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Numerical Methods with SciPy

Overview

Skills Needed

Learn essential numerical methods for scientific computing using SciPy library. Explore interpolation techniques, numerical integration, and solving differential equations with SciPy.

  • Basic knowledge of Python programming
  • Familiarity with calculus and differential equations

Outline

  • Introduction to Numerical Methods
  • Interpolation Techniques
  • Numerical Integration Methods
  • Solving Ordinary Differential Equations (ODEs)
  • Solving Partial Differential Equations (PDEs)
  • Root Finding and Optimization
  • Fourier Transformations
  • Wavelet Transformations
  • Spectral Analysis
  • Applications of Numerical Methods in Scientific Computing

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