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Physical Sciences and Mathematics Commons

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Loyola University Chicago

Computer Science: Faculty Publications and Other Works

2004

Articles 1 - 4 of 4

Full-Text Articles in Physical Sciences and Mathematics

Gentoo Linux: The Next Generation Of Linux, George K. Thiruvathukal Sep 2004

Gentoo Linux: The Next Generation Of Linux, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

One of the reasons scientific programmers love Linux is its less-is-more philosophy. We can configure it to be anything from a desktop replacement with USB port support to a blade in a large SMP compute engine to a powerful Web server. Although Linux's market penetration in these various sectors remains to be seen, plenty of people are pumping resources into the Linux world. In this article, I?ll explain why Gentoo Linux (www.gentoolinux.org) is a good choice for scientists, and how its structure gives us the flexibility and ease of management we need.


Plone And Content Management, George K. Thiruvathukal, Konstantin Läufer Jul 2004

Plone And Content Management, George K. Thiruvathukal, Konstantin Läufer

Computer Science: Faculty Publications and Other Works

In this column, the authors look at Plone, which they feel is one of the best content management systems available today. Even better, it?s distributed under a free open-source license: the cost of getting started is only limited to the time you have available to set up the software on a server. Plone is written in Python and uses the Zope application server infrastructure; it runs on most modern operating systems. The authors have even set it up at Loyola University Chicago in the Department of Computer Science. Besides being two faculty members who rely on Plone to host all …


Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer Mar 2004

Natural Xml For Data Binding, Processing, And Persistence, George K. Thiruvathukal, Konstantin Läufer

Computer Science: Faculty Publications and Other Works

The article explains what you need to do to incorporate XML directly into your computational science application. The exploration involves the use of a standard parser to automatically build object trees entirely from application-specific classes. This discussion very much focuses on object-oriented programming languages such as Java and Python, but it can work for non-object-oriented languages as well. The ideas in the article provide a glimpse into the Natural XML research project.


Xml In Computational Science, George K. Thiruvathukal Jan 2004

Xml In Computational Science, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

In this first article in a series about XML in computational science, I present some background and lightweight examples of XML usage, describe some XML component frameworksalong with their purpose and applicability to computational science, and discuss some technical obstacles to overcome for the language to be taken seriously in computational science.