Looks like Joe O’Brien tagged me for answers to the following questions. He, in turn, was tagged by Josh Owens, who in turn was tagged by Jeff Blankenburg. It looks like Sarah Dutkiewicz and Micheal Eaton started this.
OK, sounds like fun. Here goes.
I was introduced to programming in high school by reading a book on the topic. The book taught me how to write machine code for a strange decimal-based machine. Unfortunately, there was no actual computer involved in the process. Shoot, who had computers back then? Certainly not our high school (the personal computers? not invented yet!)
In college, I learned a smattering of FORTRAN. Just enough to drive a Calcomp plotter to plot data from my undergraduate physics courses. But didn’t really get into programming until my junior year in college. (Story continued in next question)
So, I was planning out the courses for my junior year in college and I had a hole in my math courses. The math class I needed was not offered that semester, so my adviser suggested taking a computer programming course. He said it would be useful and, who knows, I might enjoy it.
So I signed up for an introduction to FORTRAN course, figuring it would be easy because I already knew a little bit of FORTRAN. I show up on the first day of class and after a few preliminaries the instructor jumps right into some code, that looked like this:
(de member (pip deck) (cond
((null deck) nil)
((eq pip (car deck)) t)
(t (member pip (cdr deck)))))
I remember scratching my head and thinking this was the strangest FORTRAN I had ever seen. I was totally confused for about three days, then something clicked on the third day of class. I suddenly “got” what the instructor was trying to get across and it all made perfect sense.
If you haven’t figured it out yet, the instructor taught us Lisp as part of an introduction to FORTRAN. The instructor turned out to be Daniel Friedman, the author of The Little Lisper, and was well known in the Lisp community. That small exposure to Lisp hooked me on programming from that point on. I took as many CompSci courses as I could in my remaining year and a half in college. I eventually graudated with a BS in Physics, but had a strong background in Computer Science as well.
Technically, FORTRAN was my first language. But Lisp is the language I fell in love with and is what got me hooked on programming.
I have a very clear memory of the very first program I wrote professionally. The reason it is so clear is that this was the first program I wrote that was intended for actual use by someone who wanted it. Everything else up to that time was done for my own personal enjoyment or to satisfy some course requirement.
The program calculated the “critical angles” of “pieces”. I was given the requirements by Anne Exline, a senior programmer, and proceeded to write the program to spec. It took a few days, but when I was done I showed the result to Anne and she was pleased with the result.
The funny thing is that I had no idea what a “piece” was nor what was so critical about the angles I was calculating. I was so excited about writing an actual program that I did not ask until the software was done. When asked, Anne just looked at me funny and said “Rocket Pieces”. When Cape Canaveral lauches a rocket, they track it very carefully to make sure it stays on course. If it strays, the range safety officer is required to activate the self destruct. The critical angles are those angles that would cause the “rocket pieces” to land outside the safety area of the flight path.
So, my very first professional program was not only useful, it might actually save lives.
Languages I have used as part of my professional career (in roughly chronological order) include FORTRAN, various assembly languages, FORTH, C, PL/M, C++, Java, Ruby.
Languages I have used in addition to those mentioned above: Pascal, Perl, Eiffel, and Lisp/Scheme.
Languages I can read, but never wrote anything significant in them: Ada, Python, Erlang, Smalltalk, SNOBOL, Algol, Pascal.
I was hired by the RCA Missile Test project in Cape Canaveral, Florida as a Near Real Time Analyst. Duties included programming various launch related software (e.g. the critical angle program mentioned above) and working launch support.
The launch support was the “Near Real Time” part of the job description. From the moment a rocket is launched until it reaches orbital velocity, any malfunction could cause it to fall back to earth. During this initial portion of the launch, the launch is monitored in “real-time” so that we know exactly where it would land if the engines were to cut off NOW. Trajectory calculations had to be done in fractions of a second and updated constantly in real time.
After the rocket reaches oribital velocity (usually somewhere between 8 and 14 minutes into its flight), it won’t fall back to earth. At this point the real time trajectory program is shut down and the near real time program is started. The near real time program can take a few minutes to calculate a more exact orbital prediction and then send that prediction to downrange radars (e.g. the the Ascension Island station) that won’t see the rocket until about 20 minutes after launch. It was the job of the Near Real Time analyst to run that program and provide oribital predictions for downrange station.
Find something that you enjoy and do that. Life is too short to work in a job that you dislike.
Oh, the fun I have had. This story still makes me smile.
My first computer was a single board Z80 microcomputer with 4 KB of memory. I wrote a small FORTH-like interpreter for it and hacked a version of the animal game in FORTH. The animal game is a program that plays 20 questions to figure out what animal you are thinking of. It constructs a binary tree where each node is a question and the subtrees are the yes and no answers to the question. To play the game, all the program does is walk the tree, ask the question at the current node and follow either the YES branch or the NO branch as appropriate.
If the program guesses wrong, it will ask you for your animal and a question that will distinguish your animal from the one it guessed. It then adds your question to the tree. By this extremely simple mechanism, it is able to expand its knowledge base. (see Ruby Quiz #15 for more details).
I had just finished the program and had seeded it with a single animal, a mouse. I turned to my wife and asked her to play the game. She thinks of an animal and starts the program, which immediately asked her “Is it a mouse?”. She turned to me with surprise and said “How did it know?”. Of course, the animal she picked was a mouse.
I don’t think I have ever impressed anyone with my programming skills as much as she was impressed with that game.
I’m tagging the following people. Remember, this is entirely voluntary so don’t feel obligated to answer. But I’m betting the answers are interesting: