Routledge Handbook of Asian Music
Routledge Handbook of Asian Music: Cultural Intersections
October 18, 2021
Robotic Vision
Robotic Vision: Fundamental Algorithms in MATLAB®
October 20, 2021

Introduction to Python in Earth Science Data Analysis From Descriptive Statistics to Machine Learning

Introduction to Python in Earth Science Data Analysis
Author: Maurizio Petrelli
publisher :Springer
ISBN 10 :3030780546
ISBN 13 :
page Number : 229
file size : 8 MB



The book is organized into five parts plus three appendixes. The Part I, entitled
“Python for Geologists: A Kickoff,” focuses on the very basics of Python programming, from setting up an environment for scientific computing to solving your first
geology problems using Python. The Part II is entitled “Describing Geological Data”
and explains how to start visualizing (i.e., making plots) and generating descriptive
statistics, both univariate and bivariate. The Part III, entitled “Integrals and Differential Equations in Geology,” discusses integrals and differential equations while
highlighting various applications in geology. The Part IV deals with “Probability
Density Functions and Error Analysis” applied to the evaluation and modeling of
Earth Science data. Finally, the Part V, entitled “Robust Statistics and Machine Learning” analyzes data sets that depart from normality (statistically speaking) and the
application of machine learning techniques to data modeling in the Earth Sciences.