One-day workshop on working with Spatio-temporal data in Python

September 29th, 2017

9:00 am - 4:00 pm

Instructors: Ana Costa, Gladys Nalvarte, Anne Fouilloux

Helpers: Michel Heeremans, Hans Gunnar Slokvik Lian, Annika Rockenberger

General Information

Data Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

This one-day Carpentry@UiO hands-on workshop will introduce you to Python for analyzing and visualizing spatio-temporal data. We will be using datasets from the environmental sciences that are freely available.

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

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

Where: room 108, Niels Henrik Abels hus, Moltke Moes vei 35, 0851 Oslo. Get directions with OpenStreetMap or Google Maps.

When: September 29th, 2017. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email for more information.



09:00 Data Formats in Environmental Sciences
Intro to Coordinate Reference Systems and Spatial Projections
Plotting spatio-temporal data with Python


13:00 Scientific Computing Tools for Python
Handling very large files in Python
Publish python notebooks on the web

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


To participate in a Data Carpentry workshop, you will need access to install software on your laptop as described here. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page. However, if you have any problems, do not hesitate to contact us and to come earlier on the day. We will help you to finalize your set-up between 8:30 and 9:00.