
This series is aimed at programming language aficionados. There's a lot of very abstract writing about programming languages and a lot of simple minded "language X sux!" style blog posts by people who know next to nothing about programming. What I feel is sorely missing is a kind of article that deliberately sacrifices the last 10% of precision that make the theoretical articles dry and long winded but still makes a point and discusses the various trade offs involved. This series is meant to fill that void and hopefully start a lot of discussions that are more enlightening than the articles themselves. I will point out some parallels in different parts of computing that I haven't seen mentioned as well as analyze some well known rules of thumb and link to interesting blogs and articles.
Member since:
2006-07-30
Please don't think that just because I tried to give a short explanation of big O notation I do not understand asymptotic behavior. In fact I mentioned the phrase and wrote that it's about growth. Don't let the first sentence throw you.
Like I said, I wanted to sacrifice some precision to make the article less dry and long winded. Maybe I chose the wrong trade off and got people bitching instead of thinking...