Description: Introduction to Python in Earth Science Data Analysis by Maurizio Petrelli Estimated delivery 4-14 business days Format Paperback Condition Brand New Description This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. Publisher Description 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. Author Biography Maurizio Petrelli works as a researcher in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his PhD in February 2006 at the University of Perugia.His current studies are focused on the petrological, volcanological and geochemical characterization of magmatic systems with particular emphasis on time-scales estimates of magmatic processes. He combines the use of numerical simulations, experimental petrology and the study of natural samples. Since 2016, he has developed a new line of research at the Department of Physics and Geology, University of Perugia focused on the application of Machine Learning techniques to petrological and volcanological studies. Details ISBN 3030780570 ISBN-13 9783030780579 Title Introduction to Python in Earth Science Data Analysis Author Maurizio Petrelli Format Paperback Year 2022 Pages 229 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:138169958; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 76.72 USD
Location: Calgary, Alberta
End Time: 2024-11-16T04:11:28.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783030780579
Type: NA
Publication Name: NA
Book Title: Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning
Number of Pages: Xv, 229 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Environmental Conservation & Protection, Computer Simulation, Earth Sciences / Geology, Earth Sciences / General
Publication Year: 2022
Illustrator: Yes
Genre: Nature, Computers, Science
Item Weight: 13.6 Oz
Author: Maurizio Petrelli
Item Length: 9.3 in
Item Width: 6.1 in
Book Series: Springer Textbooks in Earth Sciences, Geography and Environment Ser.
Format: Trade Paperback