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SciPy Recipes

You're reading from   SciPy Recipes A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291460
Length 386 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting to Know the Tools FREE CHAPTER 2. Getting Started with NumPy 3. Using Matplotlib to Create Graphs 4. Data Wrangling with pandas 5. Matrices and Linear Algebra 6. Solving Equations and Optimization 7. Constants and Special Functions 8. Calculus, Interpolation, and Differential Equations 9. Statistics and Probability 10. Advanced Computations with SciPy

Calculus, Interpolation, and Differential Equations

In this chapter, we will present the following recipes:

  • Integration
  • Computing integrals using a Gaussian quadrature
  • Computing integrals with weighting functions
  • Computing multiple integrals
  • Interpolation
  • Computing a polynomial interpolation for a set of data points
  • Univariate interpolation
  • Finding a cubic spline that interpolates a set of data
  • Defining a B-spline for a given set of control points
  • Differentiation
  • Solving a one-dimensional ordinary differential equation
  • Solving a system of ordinary differential equations
  • Solving differential equations and systems with parameters
  • Using ode and the objected-oriented interface to solve differential equations
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