Overview
- 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
Part of the book series: Springer Textbooks in Earth Sciences, Geography and Environment (STEGE)
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Table of contents (12 chapters)
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Python for Geologists: A Kickoff
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Describing Geological Data
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Integrals and Differential Equations in Geology
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Probability Density Functions and Error Analysis
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Robust Statistics and Machine Learning
Keywords
About this book
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Bibliographic Information
Book Title: Introduction to Python in Earth Science Data Analysis
Book Subtitle: From Descriptive Statistics to Machine Learning
Authors: Maurizio Petrelli
Series Title: Springer Textbooks in Earth Sciences, Geography and Environment
DOI: https://doi.org/10.1007/978-3-030-78055-5
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-78054-8Published: 17 September 2021
Softcover ISBN: 978-3-030-78057-9Published: 17 September 2022
eBook ISBN: 978-3-030-78055-5Published: 16 September 2021
Series ISSN: 2510-1307
Series E-ISSN: 2510-1315
Edition Number: 1
Number of Pages: XV, 229
Number of Illustrations: 8 b/w illustrations, 104 illustrations in colour
Topics: Earth System Sciences, Simulation and Modeling, Applied Statistics