[Download] Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning PDF
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Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning Summary
Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning is a beautiful novel written by Maurizio Petrelli. The book was published on September 17, 2021 and is available in PDF format. Below is the summary of “Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning by Maurizio Petrelli”:
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.
Details About Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning by Maurizio Petrelli
- Title: Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning
- Author: Maurizio Petrelli
- Language: English
- Genres:
- Series:
- Published Date: September 17, 2021
- Status: Available for Download
- Formats: PDF
- [PDF] Filename: Introduction_to_Python_in_Earth_Science_Data_Analysis_From_Descriptive_Statistics_to_Machine_Learning_-_Maurizio_Petrelli.pdf
- PDF File Size: 7.54 MB
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