If you would look over my github repositories, you’ll see that most of my programs are pretty small. And in general they are command-line applications. And that is good, because small is beautiful and simplicity is a virtue.
With Python it is relatively easy to make programs go faster by running things in parallel on multiple cores. This article shows you how.
We sill concentrate on a type of problem that is easy to parallelize.
While regular expressions can’t fully parse XML, they can be sufficient to extract data from it. In cases where the dataset is large and we are only interested in a small part of the data, this can be significantly faster than using a full XML parser.
Sometimes one has to convert numbers from and to different formats. Below are some examples in Python 3 that I …