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Titlebook: Introduction to Python in Earth Science Data Analysis; From Descriptive Sta Maurizio Petrelli Textbook 2021 The Editor(s) (if applicable) a

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書目名稱Introduction to Python in Earth Science Data Analysis
副標(biāo)題From Descriptive Sta
編輯Maurizio Petrelli
視頻videohttp://file.papertrans.cn/475/474087/474087.mp4
概述Numerous step-by-step code examples in the field of Earth Sciences.Allows proficient use of Python in visualizing, analyzing, and modelling geological data.Specifically minded for teaching Python to g
叢書名稱Springer Textbooks in Earth Sciences, Geography and Environment
圖書封面Titlebook: Introduction to Python in Earth Science Data Analysis; From Descriptive Sta Maurizio Petrelli Textbook 2021 The Editor(s) (if applicable) a
描述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.
出版日期Textbook 2021
關(guān)鍵詞Modelling Geological Data; Earth Science Python Programming; Python Learning for Geologists; Machine Le
版次1
doihttps://doi.org/10.1007/978-3-030-78055-5
isbn_softcover978-3-030-78057-9
isbn_ebook978-3-030-78055-5Series ISSN 2510-1307 Series E-ISSN 2510-1315
issn_series 2510-1307
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Probability Density Functions and Their Use in Geologysity functions, and introduces meaningful probability density functions in geology. Examples are the normal and log-normal distributions. Chapter 9 ends by showing how to perform a probability density estimation.
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