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Introduction to Python in Earth Science Data Analysis

From Descriptive Statistics to Machine Learning

  • Textbook
  • © 2021

Overview

Authors:
  1. Maurizio Petrelli

    1. Department of Physics and Geology, University of Perugia, Perugia, Italy

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  • Numerous step-by-step code examples in the field of Earth Sciences
  • Allows proficient use of Python in visualizing, analyzing, and modelling geological data
  • Specifically minded for teaching Python to geologists

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv
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  2. Python for Geologists: A Kickoff

    1. Front Matter

      Pages 1-1
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    2. Setting Up Your Python Environment, Easily

      • Maurizio Petrelli
      Pages 3-9

    3. Python Essentials for a Geologist

      • Maurizio Petrelli
      Pages 11-23

    4. Solving Geology Problems Using Python: An Introduction

      • Maurizio Petrelli
      Pages 25-39

  3. Describing Geological Data

    1. Front Matter

      Pages 41-41
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    2. Graphical Visualization of a Geological Data Set

      • Maurizio Petrelli
      Pages 43-66

    3. Descriptive Statistics 1: Univariate Analysis

      • Maurizio Petrelli
      Pages 67-82

    4. Descriptive Statistics 2: Bivariate Analysis

      • Maurizio Petrelli
      Pages 83-95

  4. Integrals and Differential Equations in Geology

    1. Front Matter

      Pages 97-97
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    2. Numerical Integration

      • Maurizio Petrelli
      Pages 99-115

    3. Differential Equations

      • Maurizio Petrelli
      Pages 117-134

  5. Probability Density Functions and Error Analysis

    1. Front Matter

      Pages 135-135
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    2. Probability Density Functions and Their Use in Geology

      • Maurizio Petrelli
      Pages 137-154

    3. Error Analysis

      • Maurizio Petrelli
      Pages 155-178

  6. Robust Statistics and Machine Learning

    1. Front Matter

      Pages 179-179
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    2. Introduction to Robust Statistics

      • Maurizio Petrelli
      Pages 181-194

    3. Machine Learning

      • Maurizio Petrelli
      Pages 195-207

  7. Back Matter

    Pages 209-229
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Keywords

About this book

This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Authors and Affiliations

  • Department of Physics and Geology, University of Perugia, Perugia, Italy

    Maurizio Petrelli

About the author

Maurizio Petrelli works as a researcher in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his PhD in February 2006 at the University of Perugia.His current studies are focused on the petrological, volcanological and geochemical characterization of magmatic systems with particular emphasis on time-scales estimates of magmatic processes. He combines the use of numerical simulations, experimental petrology and the study of natural samples. Since 2016, he has developed a new line of research at the Department of Physics and Geology, University of Perugia focused on the application of Machine Learning techniques to petrological and volcanological studies.

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