Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / Maurizio Petrelli.

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Introduction to Python in earth science data analysis : from descriptive statistics to machine learning / Maurizio Petrelli.

9783030780555 (electronic bk.)
3030780554 (electronic bk.)
9783030780548
3030780546

Cham : Springer, [2021]

©2021

English

1 online resource : illustrations (chiefly color).

10.1007/978-3-030-78055-5 doi

QE48.8 .P48 2021

550.285

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed September 27, 2021).

Springer textbooks in earth sciences, geography and environment.

Print version: 9783030780548

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