Welcome to Introduction to Earth Data Science!
About Introduction to Earth Data Science
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.
This textbook is designed for the Earth Analytics Bootcamp for the Earth Data Analytics Professional Certificate taught by instructors at CU Boulder.
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
This textbook is highly technical, and each chapter covers some aspect of scientific programming and open reproducible science workflows. Additional sections and chapters will continue to be added.
|Section 1: Open Reproducible Science Workflows|
|Chapter 1: Open Reproducible Science|
|Chapter 2: Bash / Shell|
|Chapter 3: Jupyter for Python|
|Section 2: File Formats for Earth Data Science|
|Chapter 4: Text File Formats for Earth Data Science|
|Section 3: Git/GitHub|
|Section 4: Python Code Fundamentals|
|Chapter 10: Introduction to Python|
|Section 5: Clean Code and Literate Expressive Programming|
|Chapter 11: Introduction to Clean Code and Literate Expressive Programming|