Introduction to Python in earth science data analysis: from descriptive statistics to machine learning

by Petrelli, Maurizio

Type Book

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Title Statements

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

Edition Statements

Publication Date:©2021

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:©2021

The Physical Object

Description:xv, 229 pages : : illustrations ; : 24 cm.

Edition Identifiers

ISBN:9783030780548, 3030780546
oclc:on1281719185
LC Classification:QE48.8

Part I: Python for geologists : a kickoff. 1. Setting up your Python environment, easily ; 2. Python essentials for a geologist ; 3. Solving geology problems using Python : an introduction -- Part II: Describing geological data. 4. Graphical visualization of a geological data set ; 5. Descriptive statistics 1: univariate analysis ; 6. Descriptive statistics 2: bivariate analysis -- Part III: Integrals and differential equations in geology. 7. Numerical integration ; 8. Differential equations -- Part IV: Probability density functions and error analysis. 9. Probability density functions and their use in geology ; 10. Error analysis -- Part V: Robust statistics and machine learning. 11. Introduction to robust statistics ; 12. Machine learning -- Appendix A: Python packages and resources for geologists ; Appendix B: Introduction to object oriented programming ; Appendix C: The Matplotlib object oriented API ; Appendix D: Working with Pandas.