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Training Workshop (19th and 20th September, 2018)
A GitHub repository for source material relevant to the workshop can be found here:
https://github.com/Ouranosinc/pavics-ogc-training
Note that there is material already developed by the Birdhouse team: http://birdhouse-workshop.readthedocs.io/en/latest/
I think it would be good to integrate our own training material with the Birdhouse stuff.
- Trainees
- Basic understanding of Python (2 or 3)
-
Anaconda/Miniconda3(Easier to manage with PyCharm) - QGIS
- PyCharm - Community Edition (see Training)
- Laptop
- Ouranos
- JupyterHub/JupyterLab instance with dependencies installed and account created for users
- Notebooks with examples, tutorials and exercises
- Test framework
Mourad has already installed a JupyterHub server on Medus. OWSlib is installed, we can test stuff.
It would be good to send out a survey to get a sense of what participants are expecting. A link to one can be found here: https://docs.google.com/forms/d/1SYen8EZ_WQpaUB5xMYDGRifOsJKwr7gbV4w-DbcrcIU/edit
https://docs.google.com/presentation/d/1ASsWtblcKljKl76WnFDVnRJw_xn5rUmpn50WXZUJEBI/edit?usp=sharing https://docs.google.com/presentation/d/1ZLY_xthawKyJPbD3HNpLw4kdXmca4BIRsBgFTtYxm1s/edit?usp=sharing
Provide an overview of what other institutions are doing to improve how climate data sets are accessed and processed. The presentation by Nils is a good starting point. See Climate Informatics Landscape in google slides.
Topics:
- Open Source/Data Movement (TJS)
- Copernicus
- NASA EDAS (TJS)
- NCAR (TJS)
- Pangeo
- NCI
- Canadian Geospatial Data Infrastructure (TJS)
- GeoMet
- Intro to PAVICS: What do we gain from it?
You've got all these different initiatives going, and one approach to make those different solutions accessible is to provide them through standards. See Standards for Interoperability in google slides.
Topics:
- What's an API ? (TJS)
- The Open Geospatial Consortium: what is it, how does it work ? (TJS)
- WFS (TL)
- WMS (TL)
- WCS (TL)
- WPS (TL)
Practice accessing open climate resources (e.g. GeoMET) using different clients Write as Jupyter notebooks in the birdhouse-workshop repo. See https://github.com/bird-house/birdhouse-workshop/blob/master/tutorials/31_owslib/owslib-wps.ipynb
- OWSlib and console access (Python) (TL)
- QGIS (TJS, TL)
- OWSlib and Folium (TJS)
- List of exercises to complete in class [TL, TJS]
- Organize social event (pick location, make reservations, etc).
Notebook ?
Topics:
- PyCharm installation (TJS)
- PyCharm and Conda training [40m] (TJS)
- Writing a process + exercises [30m]
- Study simple processes [15m]
- Process definition [5m]
- Inputs definition [10m]
- Output definition [5m]
- Testing processes + exercises [30m]
- Development workflow (Git Training) [45m] (TJS)
- GitHub intro
- Submitting issues
- Submitting a pull request to GitHub
- Reviewing code
- Automated testing tools (Continuous Integration)
Present a few examples of programmatic workflows (access, subset, indices, download, mapping). Create exercises based on that...
Hands-on exercises
- CDO processes (cat,...) (TL)
- ICCLIM processes (TL)
- Subsetting and averaging processes (TL)
- Access to ESGF catalog with pyesgf (DH)
- Run processes on nrcan data (TL)
- Run processes on EC station obs ???? (TL)
Topics:
- UI tour
- Search data
- Visualize NetCDF files
- Launch processes
- Workflows
- Monitor execution
Collect feedback from participants
- SurveyMonkey? Google Form?