References#

The contents for this course are partially derived from the following resources, and we are thankful to their authors for sharing them.

  1. Introduction to Earth Data Science Textbook, Earth Lab CU Boulder (link).

  2. An Introduction to Earth and Environmental Data Science, Columbia University (link).

  3. The Unix Shell, Software Carpentry (link).

  4. Introduction to Geospatial Raster and Vector Data with Python, Software Carpentry (link).

  5. Introduction to Conda for (Data) Scientists, The Carpentries Incubator(link)

  6. In writing a few chapters of this book, I have used OpenAI’s ChatGPT to generate the text. All of the content has been reviewed, revised and edited as needed to ensure accuracy. Use of ChatGPT facilitated the generation of text for these chapters based on an outline that I had envisioned for it.