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Applying Math with Python

You're reading from   Applying Math with Python Practical recipes for solving computational math problems using Python programming and its libraries

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989750
Length 358 pages
Edition 1st Edition
Languages
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Authors (2):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (12) Chapters Close

Preface 1. Basic Packages, Functions, and Concepts 2. Mathematical Plotting with Matplotlib FREE CHAPTER 3. Calculus and Differential Equations 4. Working with Randomness and Probability 5. Working with Trees and Networks 6. Working with Data and Statistics 7. Regression and Forecasting 8. Geometric Problems 9. Finding Optimal Solutions 10. Miscellaneous Topics 11. Other Books You May Enjoy

How to do it...

The following steps show you how to use the Pint package to keep track of units in calculations:

  1. First, we need to create a UnitRegistry object:
ureg = pint.UnitRegistry(system="mks")
  1. To create a quantity with a unit, we multiply the number by the appropriate attribute of the registry object:
distance = 5280 * ureg.feet
  1. We can change the units of the quantity using one of the available conversion methods:
print(distance.to("miles"))
print(distance.to_base_units())
print(distance.to_base_units().to_compact())

The output of these print statements is as follows:

0.9999999999999999 mile
1609.3439999999998 meter
1.6093439999999999 kilometer
  1. We wrap a routine to make it expect an argument in seconds and output a result in meters:
@ureg.wraps(ureg.meter, ureg.second)
def calc_depth(dropping_time...
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