V0.1.2 Research Computing Services IS & T
Numerical and Scientific Computing in Python
v0.1.2
Research Computing Services IS & T
RCS Team and Expertise
Our Team
Scientific Programmers Systems Administrators Graphics/Visualization Specialists Account/Project Managers Special Initiatives (Grants) Maintains and administers the Shared Computing Cluster
Located in Holyoke, MA ~19,000 CPUs running Linux
Consulting Focus:
Bioinformatics Data Analysis / Statistics Molecular modeling Geographic Information Systems Scientific / Engineering Simulation Visualization
CONTACT US: help@scc.bu.edu
Running Python for the Tutorial
If you have an SCC account, log on and use Python there.
Run:
module load python/3.6.2 spyder & source /net/scc2/scratch/Numpy_examples.sh
Note that the spyder program takes a while to load!
SCC On-Demand
Go to: scc-ondemand.bu.edu Go to Interactive Apps, choose Spyder. Once available, open a terminal window and run:
source /net/scc2/scratch/Numpy_examples.sh
Run Spyder
Click on the Start Menu in the bottom left corner and type: spyder
After a second or two it will be found. Click to run it.
Be patient...it takes a while to start.
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