Here are the contents of earth.py: import matplotlib.pyplot as pltĪx = plt.axes(projection=ccrs.Orthographic(central_latitude=lat,central_longitude=lon))Īx.add_feature(cfeature.BORDERS, linestyle=':')Īx.add_feature(cfeature.LAKES, alpha=0.5) You will then be asked if you want to save the file or discard changes. To close nano, press Control-X or Command-X. To start creating the file, type in “nano earth.py”. The first file we will create is earth.py. Module load Cartopy/0.17 Recap: Using nano Module load matplotlib/3.0.3-Python-3.7.2 mkdir earthĬd earth Load the modules module load GCC/8.2.0 OpenMPI/3.1.4 This script will generate a lot of files, so let’s create a folder to put everything in. Whether you use GCC or Intel depends on the libraries you wish to use, as well as personal preference. Remember that Lmod commands are case sensitive.Īn alternate installation of Python is module load Intel Python, which has been optimized using an Intel compiler. In your terminal, type in the following: module load GCC Python While Anaconda is very versatile and comes with many different software libraries out of the box, we highly encourage our users to use the ACCRE-optimized installation of Python instead, which is specifically optimized for the cluster hardware. Previously we introduced you to the Anaconda distribution of Python. You will need your ACCRE account, so if you haven’t done so already, log in to ACCRE using a terminal. Along the way we will introduce you to the ACCRE Visualization Portal.Īs with the last tutorial, we will be using Python but you don’t need to know it for the tutorial.

In this tutorial we will be building upon the skills presented in the last tutorial to create an animated GIF of a spinning globe using a job array. Job arrays come up frequently in high-performance computing jobs, and groups will often tell us that it is one of the most important features we offer.

Earth spinning animations