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Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning / / by Maurizio Petrelli



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Autore: Petrelli Maurizio Visualizza persona
Titolo: Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning / / by Maurizio Petrelli Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (229 pages)
Disciplina: 550.285
Soggetto topico: Physical geography
Computer simulation
Statistics
Earth System Sciences
Computer Modelling
Applied Statistics
Nota di contenuto: Part I Python for Geologists, a kick-off -- Setting Up Your Python Environment, Easily -- Python Essentials for a Geologist -- Start Solving Geological Problems Using Python -- Part II Describing Geological Data -- Graphical Visualization of a Geological Dataset -- Descriptive Statistics -- Part III Integrals and Differential Equations in Geology -- Numerical Integration -- Ordinary Differential Equations (ODE) -- Partial Differential Equations (PDE) -- Part IV Probability Density Functions and Error Analysis -- Probability Density Functions and their Use in Geology -- Error Analysis -- Part V Robust Statistics and Machine Learning -- Introduction to Robust Statistics -- 12. Machine Learning.
Sommario/riassunto: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.
Titolo autorizzato: Introduction to Python in Earth Science Data Analysis  Visualizza cluster
ISBN: 3-030-78055-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910502625203321
Lo trovi qui: Univ. Federico II
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Serie: Springer Textbooks in Earth Sciences, Geography and Environment, . 2510-1315