Book Image

Applying Math with Python

By : Sam Morley
Book Image

Applying Math with Python

By: Sam Morley

Overview of this book

Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python’s scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover 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 (12 chapters)

Technical requirements

This chapter requires many different packages due to the nature of the recipes it contains. The list of packages we need is as follows:

  • Pint
  • uncertainties
  • NetCDF4
  • xarray
  • GeoPandas
  • Geoplot
  • Papermill
  • Cerberus
  • Faust
  • Cython
  • Dask

All of these packages can be installed using your favorite package manager, such as pip:

          python3.8 -m pip install pint uncertainties netCDF4 xarray geopandas
geoplot papermill cerberus faust cython

To install the Dask package, we need to install the various extras associated with the package. We can do this using the following pip command in the terminal:

          python3.8 -m pip install dask[complete]

In addition to these Python packages, we will also need to install some supporting software. For the Working with geographical data recipe...