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Astronomical Computing
Astronomical Computing

Contents:

  • Introduction
  • Basics
    • Operation Systems
    • Why Python
  • Scientific computing with Python
    • Scientific Python - numpy
    • Scientific Python - scipy
    • Scientific Python - matplotlib
    • Error Analysis
    • Root Finding
    • Linear algebra
    • Interpolation
    • Curve fitting
    • Numerical Differentiation
    • Numerical Integration
    • Numerical Optimization
    • Solution of ODEs
    • Error Analysis
    • Eigenvalues and Eigenvectors
  • Astronomical Data Analysis
    • Data formats
    • astropy.ndarray
  • High performance computing
  • chapter
  • References
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Scientific computing with Python#

Numerical Analysis = Scientific Computing

Contents:

  • Scientific Python - numpy
  • Scientific Python - scipy
  • Scientific Python - matplotlib
  • Error Analysis
  • Root Finding
  • Linear algebra
    • Solve \(\boldsymbol{A} \vec{x} = \vec{b}\)
    • How fast is it?
  • Interpolation
    • linear interpolation
    • spline
    • ND interpolation
  • Curve fitting
  • Numerical Differentiation
  • Numerical Integration
  • Numerical Optimization
  • Solution of ODEs
  • Error Analysis
  • Eigenvalues and Eigenvectors
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