Introduction to Python in Earth Science Data Analysis : From Descriptive Statistics to Machine Learning /
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, analyzi...
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| Format: | eBook |
| Language: | English |
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Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Springer Textbooks in Earth Sciences, Geography and Environment,
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Part I Python for Geologists, a kick-off
- Setting Up Your Python Environment, Easily
- Python Essentials for a Geologist
- Start Solving Geological Problems Using Python
- Part II Describing Geological Data
- Graphical Visualization of a Geological Dataset
- Descriptive Statistics
- Part III Integrals and Differential Equations in Geology
- Numerical Integration
- Ordinary Differential Equations (ODE)
- Partial Differential Equations (PDE)
- Part IV Probability Density Functions and Error Analysis
- Probability Density Functions and their Use in Geology
- Error Analysis
- Part V Robust Statistics and Machine Learning
- Introduction to Robust Statistics
- 12. Machine Learning.