Springer Textbooks in Earth Sciences, Geography and Environment

Introduction to Python in Earth Science Data Analysis

From Descriptive Statistics to Machine Learning

Autoren: Petrelli, Maurizio

Vorschau
  • 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
Weitere Vorteile

Dieses Buch kaufen

eBook 71,68 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-030-78055-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 90,94 €
Preis für Deutschland (Brutto)
Über dieses Lehrbuch

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.

Über die Autor*innen

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.

Inhaltsverzeichnis (12 Kapitel)

Inhaltsverzeichnis (12 Kapitel)

Dieses Buch kaufen

eBook 71,68 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-030-78055-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 90,94 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Introduction to Python in Earth Science Data Analysis
Buchuntertitel
From Descriptive Statistics to Machine Learning
Autoren
Titel der Buchreihe
Springer Textbooks in Earth Sciences, Geography and Environment
Copyright
2021
Verlag
Springer International Publishing
Copyright Inhaber
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-78055-5
DOI
10.1007/978-3-030-78055-5
Hardcover ISBN
978-3-030-78054-8
Buchreihen ISSN
2510-1307
Auflage
1
Seitenzahl
XV, 229
Anzahl der Bilder
8 schwarz-weiß Abbildungen, 104 Abbildungen in Farbe
Themen