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The Statistics and Calculus with Python Workshop

You're reading from   The Statistics and Calculus with Python Workshop A comprehensive introduction to mathematics in Python for artificial intelligence applications

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800209763
Length 740 pages
Edition 1st Edition
Languages
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Authors (6):
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Ajinkya Sudhir Kolhe Ajinkya Sudhir Kolhe
Author Profile Icon Ajinkya Sudhir Kolhe
Ajinkya Sudhir Kolhe
Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Marios Tsatsos Marios Tsatsos
Author Profile Icon Marios Tsatsos
Marios Tsatsos
Alexander Joseph Sarver Alexander Joseph Sarver
Author Profile Icon Alexander Joseph Sarver
Alexander Joseph Sarver
Peter Farrell Peter Farrell
Author Profile Icon Peter Farrell
Peter Farrell
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
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Table of Contents (14) Chapters Close

Preface
1. Fundamentals of Python 2. Python's Main Tools for Statistics FREE CHAPTER 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

Using Trapezoids

  1. We can get better approximations sooner using trapezoids rather than rectangles. That way, we won't miss as much area, as you can see in Figure 10.13:

    Figure 10.13: Using trapezoids for better approximations to the curve

    The following is the formula for the trapezoidal rule:

    Figure 10.14: Formula for area of trapezoids

    The heights of the segments at the endpoints x = a and x = b are counted once, while all the other heights are counted twice. That's because there are two heights in the formula for the area of a trapezoid. Can you guess how to adapt your integral function to be trapezoidal?

    def trap_integral(f,a,b,num):
        """Returns the sum of num trapezoids
        under f between a and b"""
        width = (b-a)/num
        area = 0.5*width*(f(a) + f(b) + 2*sum([f(a+width*n) for n in range(1,num)]))
        return area

    Now we'll run the trap_integral...

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