Introduction To Python In Earth Science Data Analysis From Descriptive Statistics To Machine Learning(1st Edition)
Authors:
Maurizio Petrelli
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 3030780570, 978-3030780579
Book publisher: Springer
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Customer Reviews
Trusted feedback from verified buyers
IT
This book is a gem! It offers a perfect blend of Python programming essentials and their application in Earth sciences. The examples are directly relevant, making it a practical guide. Got it at a subsidy with my membership, which made this purchase even more worthwhile. If you're eager to deepen your data analysis skills in Earth science, do yourself a favor and get this book.
LB
I must say, this book exceeded my expectations! As a geoscientist with a keen interest in data analysis, I found it incredibly well-structured and comprehensive. The flow from descriptive statistics to advanced machine learning is seamless. I particularly appreciated the clear explanations and practical examples, which made complex concepts much easier to grasp. Definitely a must-have for anyone in the field! Arrived quickly and in perfect condition too.
DC
While the book provides a good overview and practical examples, I feel it could benefit from more depth in the machine learning section. However, it serves as an excellent starting point and reference for Earth science professionals. The book arrived well-packaged and earlier than expected. Overall, a very helpful guide that pairs well with online resources.
CF
This book serves as a decent introduction, but lacks depth in some areas. Suitable for beginners.
PP
I found the book quite informative with its clear explanations and structured approach to learning Python applied to Earth science data analysis. One minor gripe is that the graphics could have been better in some parts, but it’s not a deal-breaker. Managed to get an extra discount with my student membership. Anyone in the field will find this book quite useful.






























