maurelia/python_earth_science_book

Introduction to Python in Earth Science Data Analysis

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Scope of the Repository

This is the code repository for the book titled "Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning" by Maurizio Petrelli, to be published by Springer

Codes

Table of Contents:

• Chapter 1: Setting Up Your Python Environment, Easily

• Chapter 2: Python Essentials for a Geologist

• Chapter 3: Solving Geology Problems Using Python: An Introduction

• Chapter 4: Graphical Visualization of a Geological Data Set

• Chapter 5: Descriptive Statistics 1: Univariate Analysis

• Chapter 6: Descriptive Statistics 2: Bivariate Analysis

• Chapter 7: Numerical Integration

• Chapter 8: Differential Equations

• Chapter 9: Probability Density Functions and Their Use in Geology

• Chapter 10: Error Analysis

• Chapter 11: Introduction to Robust Statistics

• Chapter 12: Machine Learning

Jupyter Notebooks

• Chapter 4: Prepare a publication-ready diagram
• Chapter 6: Crystal-lattice-strain model
• Chapter 7: Computing the Lithostatic Pressure
• Appendix A: Python Packages and Resources for Geologists

License

The code in this repository is released under the MIT license. Read more about MIT license.

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