Jan 17, 2017 · 10:00 a.m.–11:00 a.m. · Room 347, Visualization Lab
Looking for some help getting started? Can’t get your code to run?
We offer an open help session every Tuesday morning from 10:00-11:00 in 245 Lewis Science Library.
This is an opportunity to meet with research computing staff for one-on-one help with all things cluster related. Topics include, but are certainly not limited to:
• Getting started on the cluster(s)
• Navigating the file systems
• Understanding and troubleshooting error messages
• Transferring and storing data
• Installing and compiling software
• Writing SLURM submission scripts
• Improving performance
• Programming strategies
• And many more…
Think of this as CSES office hours - no appointment necessary. We are also available to meet outside of these hours; please email email@example.com to schedule an appointment.
Jan 18, 2017 · 4:00 p.m.– 5:00 p.m. · Room 347, Visualization Lab
The Environmental Systems Research Institute (Esri) has long used Python to develop its Geographic Information System (GIS) software and to provide scripting tools to users. A variety of geoprocessing tools are available as Python scripts, and script editing is supported within Esri’s ArcGIS for Desktop applications. This session will demonstrate Esri’s Python site package ArcPy within ArcGIS Pro, and also will access the ArcPy module outside of an Esri Desktop application. On-line resources to help users use ArcPy will also be explored.
Bill Guthe is a Geographic Information Systems Visualization Analyst in Research Computing / OIT. He provides support for ArcGIS, QGIS, ENVI, Imagine and other software packages. Wangyal Shawa, the GIS librarian, and Bill offer GIS training sessions each semester. They also teach a half-semester course, GIS for Public Policy, for the Woodrow Wilson School.
Jan 19, 2017 · 2:00 p.m.– 3:00 p.m. · Room 347, Visualization Lab
We offer an open, walk-in help session every Thursday afternoon from 2:00 - 3:00 pm in 346 Lewis Library. No appointment necessary.
For help at other times, please email firstname.lastname@example.org.
The Help Session is an opportunity to meet with research computing staff for one-on-one help with data visualization and programming. We can discuss visualization programs, techniques, and data formats as well as programming and cluster usage. In particular, how to effectively display your data.
If you are working with large amounts of data on the Princeton High Performance Computing environment you can learn about remote visualization from tigressdata.princeton.edu.
Feb 1, 2017 · 4:00 p.m.– 5:00 p.m. · Room 347, Visualization Lab
Speaker: Alexey Svyatkovskiy
Feb 15, 2017 · 4:00 p.m.– 5:00 p.m. · Room 347, Visualization Lab
We all need high-quality plots for data inspection, presentation, and publication. Matplotlib is a powerful Python library for visualizing data. Because it is so customizable, it can be challenging for beginners to find an efficient and reusable workflow. We will go over the structure of the matplotlib library and how to use it to generate beautiful custom plots.
Ben Deverett is a second-year graduate student from Toronto, Canada. He is studying molecular biology and neuroscience.
Mar 1, 2017 · 4:00 p.m.– 5:00 p.m. · Room 347, Visualization Lab
Speaker: Alexey Svyatkovskiy