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)

Working with geographical data

Many applications involve working with geographical data. For example, when tracking global weather, we might want to plot the temperature as measured by various sensors around the world at their position on a map. For this, we can use the GeoPandas package and the Geoplot package, both of which allow us to manipulate, analyze, and visualize geographical data.

In this recipe, we will use the GeoPandas and Geoplot packages to load and visualize some sample geographical data.

Getting ready

For this recipe, we will need the GeoPandas package, the Geoplot package, and the Matplotlib pyplot package imported as plt:

import geopandas
import geoplot
import matplotlib.pyplot as plt

How to do it...

Follow these steps to create a simple plot of the capital cities plotted on a map of the world using sample data:

  1. First, we need to load the sample data from the GeoPandas package, which contains the world geometry information:
    world = geopandas...