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2014 ASR Science Team Meeting: ARM Radar Data & Py ART Tutorial

Jonathan J. Helmus edited this page Mar 6, 2014 · 5 revisions

Before the meeting

Before the meeting we ask that tutorial participants please try to install Py-ART and quickly test that the IPython notebooks run on your system, instructions for both tasks are included below:

Installing Py-ART.

Please follow the instructions on the Simple Install of Py-ART using Anaconda page to install Py-ART on your computer. Instructions are available for Mac OS X, Windows, and Linux. Although there are other methods for installing Py-ART, we ask that you follow these instructions so that all participants have the same Python environment and Py-ART version installed at the tutorial. If you have any problems with the install please contact Jonathan Helmus (jhelmus@anl.gov).

Testing out the tutorial IPython notebooks

We will be using the IPython notebook for our tutorial, this software was installed with Anaconda. Before the tutorial it would be most helpful if you could verify that your system is correctly set up and can run these notebooks. If you cannot get these notebook to work before the tutorial please see Scott Collis at the conference and he can check your setup.

To perform this check

  • Download the notebook zip file. Unzip this file into a directory on your computer.

  • Open a terminal window and navigate to the folder ASR_PI_2014 which is contained within the directory where you unzipped these files. In this directory run ipython notebook.

  • This will open a web browser with a list of IPython Notebooks, click on the Investigating the Py-ART Radar Object link. This will open the Investigating the Py-ART Radar Object notebook in a new tab.

  • Download the sample file linked to at the top of the page, edit the first cell to point to the location where you placed the file.

  • Try to run the first two cells to make sure the file can be read; click on the Python code and hit the Play button at the top of the page.

  • If these two work without issue you should be able to run the entire notebook; from the menu at the top of the page choose Cell -> Run All.