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Applying Math with Python

You're reading from   Applying Math with Python Over 70 practical recipes for solving real-world computational math problems

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618370
Length 376 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Sam Morley Sam Morley
Author Profile Icon Sam Morley
Sam Morley
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: An Introduction to Basic Packages, Functions, and Concepts 2. Chapter 2: Mathematical Plotting with Matplotlib FREE CHAPTER 3. Chapter 3: Calculus and Differential Equations 4. Chapter 4: Working with Randomness and Probability 5. Chapter 5: Working with Trees and Networks 6. Chapter 6: Working with Data and Statistics 7. Chapter 7: Using Regression and Forecasting 8. Chapter 8: Geometric Problems 9. Chapter 9: Finding Optimal Solutions 10. Chapter 10: Improving Your Productivity 11. Index 12. Other Books You May Enjoy

Technical requirements

In this chapter, as usual, we will need the NumPy package imported under the np alias, 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 (prophet) is used for automatically modeling time series data. These packages can be installed using your favorite package manager, such as pip:

python3.10 -m pip install statsmodels sklearn prophet

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

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