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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

Calculating Integrals

  1. One major topic of calculus is differential calculus, which means taking derivatives, as we've been doing so far in this chapter. The other major topic is integral calculus, which involves adding up areas or volumes using many small slices.

    When calculating integrals by hand, we're taught to reverse the algebra we would do to find a derivative. But that algebra gets messy and, in some cases, impossible. The hard version we learned in school was Riemann sums, which required us to cut the area under a curve into rectangular slices and add them up to get the area. But you could never work with more than 10 slices in a realistic amount of time, certainly not on a test.

    However, using Python, we can work with as many slices as we want, and it saves us the drudgery of jumping through a lot of hoops to get an algebraic equation. The point of finding the algebraic equation is to obtain accurate number values, and if using a program will get us the most accurate numbers...

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