Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning - Couverture souple

Livre 29 sur 55: Springer Textbooks in Earth Sciences, Geography and Environment

Petrelli, Maurizio

 
9783030780579: Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning
Couverture souple
ISBN 10 : 3030780570 ISBN 13 : 9783030780579
Editeur : Springer, 2022

Synopsis

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.

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À propos de l?auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2022
Langue
anglais
ISBN 10 
3030780570
ISBN 13 
9783030780579
Reliure
Broché
Nombre de pages
248
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Autres éditions populaires du même titre

9783030780548: Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning

Edition présentée

ISBN 10 :  3030780546 ISBN 13 :  9783030780548
Editeur : Springer Nature Switzerland AG, 2021
Couverture rigide