Description
| Product ID: | 9783030780579 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Springer Textbooks in Earth Sciences, Geography and Environment |
| Title: | Introduction to Python in Earth Science Data Analysis |
| Subtitle: | From Descriptive Statistics to Machine Learning |
| Authors: | Author: Maurizio Petrelli |
| Page Count: | 229 |
| Subjects: | Probability and statistics, Probability & statistics, Earth sciences, Computer modelling and simulation, Earth sciences, Computer modelling & simulation |
| Description: | Select Guide Rating This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. 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. |
| Imprint Name: | Springer Nature Switzerland AG |
| Publisher Name: | Springer Nature Switzerland AG |
| Country of Publication: | GB |
| Publishing Date: | 2022-09-17 |
