Use Data for Earth and Environmental Science in Open Source PythonEarth Lab CU Boulder


Welcome to the Use Data for Earth and Environmental Science in Open Source Python Textbook!

Key Materials

About the Use Data for Earth and Environmental Science in Open Source Python Textbook

Use Data for Earth and Environmental Science in Open Source Python is an intermediate and multidisciplinary online textbook that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous “big” scientific data.

This textbook assumes that readers have reviewed the Introduction to Earth Data Science textbook or are familiar with the Python programming language, Jupyter Notebook, and git/GitHub.

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

Overview

In this textbook, you will learn computationally intensive techniques to address scientific questions using a suite of different types of publicly available data including:

  • Satellite and airborne lidar and spectral remote sensing data,
  • Data collected using distributed in situ (on the ground) sensor networks
  • Social media data, and
  • Basic demographic data.

This textbook is highly technical, and each chapter covers some aspect of scientific programming with Python and open reproducible science workflows.

Section 1. Time Series Data in Python
Chapter 1 : Time Series Data in Pandas

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