2015 Unidata Users Workshop

Complete information on the 2015 Unidata Users Workshop

Python Instructions

A number of demonstrations will make use of the Jupyter Project (formerly IPython Notebook) technology. For participants who wish to use Python during the workshop, please follow the instructions below. To save time, we suggest following these steps before your arrival at the workshop.

1. Install Miniconda (Python 2.7) from Continuum Analytics. (Determine if your OS 32 or 64 bit.)
2. Once Miniconda is installed, from the command line (e.g., OS X terminal, cmd.exe), run these instructions:

conda create -n workshop-scikit python=2 pip numpy scipy matplotlib pandas ipython-notebook netcdf4 scikit-learn scikit-image basemap
conda create -n workshop-xray python=2 pip numpy scipy matplotlib ipython-notebook pandas netcdf4 dask xray
conda create -n workshop-kevin python=2 pip numpy scipy matplotlib ipython-notebook pandas netcdf4 dask xray basemap
conda create -n workshop-basic python=2 ipython-notebook

metpy and siphon installation

conda create -n workshop-metpy python=2 pip numpy scipy matplotlib ipython-notebook netcdf4
source activate workshop-metpy && pip install metpy siphon

From a Unix command line (e.g., OS X terminal)

To activate or switch to a conda environment, you can source activate <environment>. For example,

source activate workshop-xray

From a Windows command line (e.g., cmd.exe)

To activate or switch to a conda environment, you can activate <environment>. For example,

activate workshop-xray

jupyter notebook

The presenters will probably ask you to run examples in the ipython notebook. You may wish to create a folder on your desktop, and from the command line cd to that folder, activate (see above) an environment, and start the notebook with the ipython notebook command. Once this software is in place, Unidata Users Workshop staff and presenters will instruct participants how to make use of this software.

inline graphics

You will probably be doing matplotlib visualizations in which case you will want to inline the graphics with this command:

%matplotlib inline

2015 Unidata Users Workshop Github Repository

Presenters, participants and staff are encouraged to make use of this github repository for sharing of presentations and any material relevant to the Users Workshop.

Specific download for files used in Kevin Tyle's hands-on session:

http://www.atmos.albany.edu/facstaff/ktyle/triennial/ (Download the zip file; extract it; and then ideally cd into that directory and launch ipython notebook from there)

Questions

If you have questions about these instructions, please contact mailto:[email protected].