Maurizio Petrelli Petrelli Introduction to Python in Earth Science Data Analysis

Introduction to Python in Earth Science Data Analysis

von Maurizio Petrelli

From Descriptive Statistics to Machine Learning

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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.
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.
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

Autor*in

Maurizio Petrelli

Themen in »Introduction to Python in Earth Science Data Analysis«

Modelling Geological Data Earth Science Python Programming Python Learning for Geologists Machine Learning in Geology Ordinary Differential Equations Partial Differential Equations

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Details

ISBN: 9783030780555
Verlag: Springer International Publishing
Erscheinung: 16.09.2021

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