國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to Python in Earth Science Data Analysis/ by Maurizio Petrelli.
其他題名:	From Descriptive Statistics to Machine Learning /
作者:	Petrelli, Maurizio.
面頁冊數:	XV, 229 p. 112 illus., 104 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Applied Statistics. -
電子資源:	https://doi.org/10.1007/978-3-030-78055-5
ISBN:	9783030780555

Introduction to Python in Earth Science Data Analysis = From Descriptive Statistics to Machine Learning /
Petrelli, Maurizio.

Introduction to Python in Earth Science Data AnalysisFrom Descriptive Statistics to Machine Learning /[electronic resource] :by Maurizio Petrelli. - 1st ed. 2021. - XV, 229 p. 112 illus., 104 illus. in color.online resource. - Springer Textbooks in Earth Sciences, Geography and Environment,2510-1315. - Springer Textbooks in Earth Sciences, Geography and Environment,.

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.

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.

ISBN: 9783030780555

Standard No.: 10.1007/978-3-030-78055-5doiSubjects--Topical Terms:

1205141
Applied Statistics.

LC Class. No.: GB3-5030

Dewey Class. No.: 550

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