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

This textbook provides a comprehensive introduction to Python programming for Earth Science data exploration and modelling. It covers topics from setting up the environment to visualizing, analysing, and modelling data, with detailed examples and scripts. Ideal for beginners and advanced users alike, it can be used in teaching courses and for solving geological problems.

Format: Paperback / softback
Length: 229 pages
Publication date: 17 September 2022
Publisher: Springer Nature Switzerland AG

This comprehensive textbook serves as an invaluable guide for utilizing Python programming in the realm of Earth Sciences. It adeptly leads the reader from the initial stages of Python proficiency, such as configuring the environment and crafting the initial lines of code, to advanced levels of expertise in visualizing, analyzing, and modeling data within the field of Earth Science. Each chapter is accompanied by detailed explicative examples of code, and each script is meticulously commented upon. Designed with beginners in Python programming in mind, this book finds application in teaching courses at both the master's and PhD levels. Additionally, early careers and experienced researchers seeking to embark on the journey of learning Python programming for the resolution of geological challenges will greatly benefit from delving into the contents of this book.

Dimension: 235 x 155 (mm)
ISBN-13: 9783030780579
Edition number: 1st ed. 2021