Book Image

Applying Math with Python - Second Edition

By : Sam Morley
Book Image

Applying Math with Python - Second Edition

By: Sam Morley

Overview of this book

The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX. You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you’ve developed a solid base in these topics, you’ll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.
Table of Contents (13 chapters)

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...