Introduction to Python in Earth Science Da...

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Beschreibung

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 den Autor

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.

Zusammenfassung

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

Inhaltsverzeichnis

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

Details

Erscheinungsjahr:	2021
Fachbereich:	Allgemeines
Genre:	Geowissenschaften
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Springer Textbooks in Earth Sciences, Geography and Environment
Inhalt:	xv 229 S. 8 s/w Illustr. 104 farbige Illustr. 229 p. 112 illus. 104 illus. in color.
ISBN-13:	9783030780548
ISBN-10:	3030780546
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Petrelli, Maurizio
Auflage:	1st ed. 2021
Hersteller:	Springer International Publishing Springer International Publishing AG Springer Textbooks in Earth Sciences, Geography and Environment
Maße:	241 x 160 x 20 mm
Von/Mit:	Maurizio Petrelli
Erscheinungsdatum:	17.09.2021
Gewicht:	0,541 kg

Artikel-ID: 120009024