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Local workstations and servers generally run Linux: usually either
Debian or SuSE. These machines have a variety of free and proprietary packages
installed. A list of software
installed on the standard SuSE workstations is available. For
software installed on the servers, please see the local documentation
for that server. The /info and /usr/share/doc directories on the machine are a good
place to start looking.
The University Public Workstation
Facility (PWF) provides Windows and Mac machines in
the cybercafe, library, and G29 within the department. These machines have licences for
Microsoft Office and many other useful packages. Almost everyone working in the
Theory sector will be entitled to a PWF account, so this is often the
best method to access Windows/Mac software if you only need it
infrequently.
Those needing access to Windows apps from their Linux desktop can use the
department-wide Terminal
Services Service. Please note that you must purchase your own
software licences for applications such as Office for this service.
Attention is drawn to the department's Software
Policy. All proprietary software used in the sector must be
recorded on the list kept by the group's computer representative, including any
on personal laptops. The computer representative for groups in the
Theory sector is currently Catherine Pitt.
The University Computing Service has a Software Sales section
which sells some software at academic prices to members of the
University. There are often restrictions on the use of such software.
If the package you want doesn't seem to be installed
anywhere in the sector, please ask for it as it may be possible to obtain it. Suggestions for useful new packages to install are
always welcome.
Here's a catchall list of local documentation for software. Everything here can be found somewhere in the sector, but may not be on all machines or under active maintenance; see individual pages for details.
Chemistry
Email
Maths
- Mathematica (Symbolic maths package)
- R (statistical computing environment)
MPI
Programming tools
Plotting
Python
Visualisation
Utilities
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