Lance Shuler

McMurry University
Computer Science and Mathematics Alumnus
Graduate 1990

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McMurry University
Sandia National Labs
Python
Zope

Interests

I am an avid fan of the Python programming language. I say this having had experience with C, C++, Fortran, Pascal, Perl, and Korn Shell. Python is an open source (for real, not the buzz word) programming language that is designed to have clear syntax and expandability. Python is interpreted, similar to Java and Perl. This contributes to ease of use. Python is object oriented like Java and C++. This contributes to maintainability and strength to handle design complexity. Python has a clear syntax like none other. This contributes to a short learning curve, to maintainability, and to suitability as a first programming language for students. Python is expandable. This contributes to cooperation with existing C, C++, and Java programs and libraries for reasons of performance,  functionality, or integration.

Python is cross-platform in more ways than this term initially implies. It runs on most Unixes, including Linux, and it runs on Mac, Windows 96/98/NT, and Amiga. What you might not expect in addition to the rich Unix support is the rich Windows support. The Python installation for Windows uses InstallShield and comes with an Integrated Development Environment known as Pythonwin. Pythonwin includes an interactive shell, a GUI debugger, and a class browser. This package also exposes much of the Win32 API (see Jeffrey Richter's book Advanced Programming in Windows), exposes the MFC API, and enables the use of COM. Yes, you can access any COM enabled application from within Python. This is similar to what Visual Basic can do (but you don't have to pay the cost that you would to get Microsoft Developer Studio Visual Basic). For the Java enthusiasts, try the Python implementation written in Java. The commands and syntax are the same, but now you can access the Java classes directly.

Python has a variety of uses, since it is truly general purpose. Some use it for administrative system tasks. National Laboratories use Python's numerical and graphics capabilities to control and visualize the experiments that they run on their supercomputers. Some use the Python image manipulation capabilities or the 3D OpenGL API for graphics visualization. Other use Python for web programming. Python can be used for CGI programming and can even be used as an application server. If you like web programming, then you've got to take a look at Zope, written almost entirely in Python. And yes, it is free as well.

Well, I've said enough. Take a look at Python and see for yourself.

Things I'm Proud Of

My family of course! That goes without saying, but it is always a good thing to mention.

I worked for two years at Sandia National Laboratory on a team that wrote the compute partition operating system for a massively parallel supercomputer. During my time on the team, we collaborated with Intel to set the world record twice for the fastest computer in the world. Our team was the first to demonstrate a sustained teraflop, a computing milestone similar to breaking the 4 minute mile. (A Teraflop is equal to 1 billion floating point calculations...add, multiply, subtract... per second.) The system that achieved the teraflop has over 9000 Pentium II processors, has more than 600 GBytes of RAM, and is interconnected by links that can transfer at 800Mb/sec bi-directional. Ouch, that is hot!

As of 11/14/99, it still held the world record for the fastest computer in the world having recently achieved 2.380 teraflops. Now it is still in the top ten.