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Introduction to Python in Earth Science Data Analysis Maurizio Petrelli

Introduction to Python in Earth Science Data Analysis By Maurizio Petrelli

Introduction to Python in Earth Science Data Analysis by Maurizio Petrelli

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Summary

This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences.

Introduction to Python in Earth Science Data Analysis Summary

Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning by Maurizio Petrelli

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.

About Maurizio Petrelli

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.

Table of Contents

Part I Python for Geologists, a kick-off; 1. Setting Up Your Python Environment, Easily; 2. Python Essentials for a Geologist; 3. Start Solving Geological Problems Using Python; Part II Describing Geological Data; 4. Graphical Visualization of a Geological Dataset; 5. Descriptive Statistics; Part III Integrals and Differential Equations in Geology; 6. Numerical Integration; 7. Ordinary Differential Equations (ODE); 8. Partial Differential Equations (PDE); Part IV Probability Density Functions and Error Analysis; 9. Probability Density Functions and their Use in Geology; 10. Error Analysis; Part V Robust Statistics and Machine Learning; 11. Introduction to Robust Statistics; 12. Machine Learning;

Additional information

NPB9783030780548
9783030780548
3030780546
Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning by Maurizio Petrelli
Maurizio Petrelli
Springer Textbooks in Earth Sciences, Geography and Environment
New
Hardback
Springer Nature Switzerland AG
2021-09-17
229
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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