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The Statistics and Calculus with Python Workshop

You're reading from  The Statistics and Calculus with Python Workshop

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800209763
Pages 740 pages
Edition 1st Edition
Languages
Concepts
Authors (6):
Peter Farrell Peter Farrell
Profile icon Peter Farrell
Alvaro Fuentes Alvaro Fuentes
Profile icon Alvaro Fuentes
Ajinkya Sudhir Kolhe Ajinkya Sudhir Kolhe
Profile icon Ajinkya Sudhir Kolhe
Quan Nguyen Quan Nguyen
Profile icon Quan Nguyen
Alexander Joseph Sarver Alexander Joseph Sarver
Profile icon Alexander Joseph Sarver
Marios Tsatsos Marios Tsatsos
Profile icon Marios Tsatsos
View More author details

Table of Contents (14) Chapters

Preface
1. Fundamentals of Python 2. Python's Main Tools for Statistics 3. Python's Statistical Toolbox 4. Functions and Algebra with Python 5. More Mathematics with Python 6. Matrices and Markov Chains with Python 7. Doing Basic Statistics with Python 8. Foundational Probability Concepts and Their Applications 9. Intermediate Statistics with Python 10. Foundational Calculus with Python 11. More Calculus with Python 12. Intermediate Calculus with Python Appendix

11. More Calculus with Python

Activity 11.01: Finding the Minimum of a Surface

Solution:

  1. We need to import the random module to use its uniform function, which chooses a random decimal value in a given range:
    import random
    from math import sin, cos,sqrt,pi
  2. Create a function that will provide us with partial derivative of f with respect to u at (v,w):
    def partial_d(f,u,v,w,num=10000):
        """returns the partial derivative of f
        with respect to u at (v,w)"""
        delta_u = 1/num
        try:
            if u == 'x':
                return (f(v+delta_u,w) - f(v,w))/delta_u
            else:
                return (f(v,w+delta_u) - f(v,w))/delta_u
        except...
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