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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
+2 more Show less
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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

5. More Mathematics with Python

Activity 5.01: Calculating Your Retirement Plan Using Series

Solution:

Perform the following steps to complete this activity:

  1. First, we need to identify the input variables and note that the problem boils down to calculating the n-term of a geometric sequence with a common ratio (1 + interest) and scale factor for the annual salary.

    annual_salary and the percentage, contrib, of it is what we contribute toward our plan. current_balance is the money that we have at year 0 and should be added to the total amount. annual_cap is the maximum percentage that we can contribute; any input value beyond that should be equal to contrib_cap. annual_salary_increase tells us how much we expect our salary to increase by per year. employer_match gives us the percentage amount the employer contributes to the plan (typically, this is between 0.5 and 1). Lastly, the current age, the duration of the plan in years, the life expectancy in years, and any other...

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