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Introduction to Python in Earth Science Data Analysis - From Descriptive Statistics to Machine Learning (Hardcover, 1st ed. 2021) Loot Price: R2,442
Discovery Miles 24 420
Repayment Terms: R229 pm x 12*
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Introduction to Python in Earth Science Data Analysis - From Descriptive Statistics to Machine Learning (Hardcover, 1st ed....

Introduction to Python in Earth Science Data Analysis - From Descriptive Statistics to Machine Learning (Hardcover, 1st ed. 2021)

Maurizio Petrelli

Series: Springer Textbooks in Earth Sciences, Geography and Environment

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Loot Price R2,442 Discovery Miles 24 420 | Repayment Terms: R229 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Textbooks in Earth Sciences, Geography and Environment
Release date: September 2021
First published: 2021
Authors: Maurizio Petrelli
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Hardcover
Pages: 229
Edition: 1st ed. 2021
ISBN-13: 978-3-03-078054-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Earth & environment > Earth sciences > General
Books > Computing & IT > Applications of computing > Computer modelling & simulation
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LSN: 3-03-078054-6
Barcode: 9783030780548

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