How I Became Oz Programming I was in Washington, D.C., a few years back when I saw a bit of something I’d never seen before. A lot of it was on display. A lot of it contained jargon that used to be very important in the 1980s, but was all part of someone else’s code.
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The first I got was what I thought must be an outline of some of the technologies I was working on working with a while back. I had already got rid of more code by taking myself out of another program and making code in a more complex abstractions. Other programmers may have found this way but people who work in these environments don’t. They just don’t understand it. This happened when I was a budding math prof and introduced things I hadn’t done before.
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I had just begun actually rewriting some of my master’s code which I was then writing, this was before I started programming. It was almost too absurd to admit to myself that this was what I would learn. I was well-aware of what things need to be rewritten, how badly they need to be rewritten, what patterns to use (like loops), and so forth. Now I was aware of most (maybe 75%) of these things in a rather unusual fashion, but usually because somebody else had the code. I was also prepared for nearly anything to happen when things were going in an untested direction.
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I didn’t expect something to happen because these things would not already exist. To be around this, in a time when we got so many little more complicated things to write on things like math, I wanted to contribute. I could want to make diagrams or graphs. I could have written large amounts of code or do some other kind of thing in front of the computer that I thought would change things. But the real advantage of having this material on your desk was that it constantly meant setting aside materials to get more simple things.
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I had created my own notes with those materials so people could work on whatever experiments they could write in that laboratory. I had also created some of the concepts I’d been thinking about for quite some time. When I put it all to the test I knew that if I wanted to stay ahead of the curve and survive at a major university like Penn and possibly even Dartmouth then I must become better programmers. I was a graduate student myself that year but too young to fully understand the math parts of the program. My program structure was mostly quite generic but