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Introduction to Earth Data Science Textbook

Author(s): Jenny Palomino, Leah Wasser

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Summary:
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed.

Licensed under CC Attribution-NonCommercial-NoDerivatives 4.0 International according to these terms

Version 1.0 - published on 15 Oct 2019

Keywords

  1. data analysis
  2. data
  3. data types
  4. data visualization
  5. data science
  6. earth science
  7. python
  8. remote sensing
  9. Geographic Information System (GIS)
  10. data science education
  11. computer programming
  12. wildfire
  13. earth analytics

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  2. Audience Level
  3. Activity Length
  4. Open Science and Education Practices Ontology
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Description

Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior programming knowledge is assumed. In this textbook, you will learn how to analyze and visualize earth and environmental science data using the Python programming language. You will also get familiar with a suite of open source tools that are often used in open reproducible science workflows including bash, Git, GitHub.com, and Jupyter Notebook. This textbook is highly technical, and each chapter covers some aspect of scientific programming and open reproducible science workflows.

This textbook is designed for the Earth Analytics Bootcamp for the Earth Data Analytics Professional Certificate taught by instructors at CU Boulder.

Citation:

Palomino, Jenny, Wasser, Leah, & Joseph, Max. (2019, August 30). earthlab/earth-analytics-intro-to-earth-data-science-textbook: Earth Analytics Intro to Earth Data Science textbook in the Python Programming Language (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.3382163 

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