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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

Technical requirements

In this chapter, as usual, we will need the NumPy package imported under the alias np, the Matplotlib pyplot module imported as plt, and the Pandas package imported as pd. We can do this using the following commands:

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

We will also need some new packages in this chapter. The statsmodels package is used for regression and time series analysis, the scikit-learn package (sklearn) provides general data science and machine learning tools, and the Prophet package (fbprophet) is used for automatically modeling time series data. These packages can be installed using your favorite package manager, such as pip:

          python3.8 -m pip install statsmodels sklearn fbprophet
        

The Prophet package can prove difficult to install on some operating systems because of its dependencies. If installing fbprophet causes a problem, you might want to try using the Anaconda...

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