annefou/metos_python repository overview

⁠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.

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.