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Python for analyzing and visualizing spatio-temporal data
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README.md

Python for analyzing and visualizing spatio-temporal data

These lessons will introduce you to Python for analyzing and visualizing spatio-temporal data. We are using datasets from the environmental sciences that are freely available.

Please visit https://annefou.github.io/metos_python/ for the lesson web page.

DOI

These lessons have been developed at the University of Oslo by Ana Costa Conrado, Gladys Nalvarte and Anne Fouilloux.

Who: The course is aimed at graduate students and other researchers.

Prerequisites:

Learners need to understand what files and directories are and what a working directory is. These concepts are covered in the Unix Shell lesson. Learners need to have some prior knowledge of Python. For instance, what is covered in the Software Carpentry lesson Programming with Python is sufficient. Learners must install Python. See the setup instructions. A few additional python libraries need to be installed before the class starts. See here which packages and how to install them. Learners must get the metos data before class starts: please download and unzip the file metos-python-data.tar.

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