At last, after months of inactivity, I pushed out a new release of [DataMatrix]({{ site.url }}/projects/datamatrix). Although the version bump is small (0.8) there are a lot of changes since last releases. The most notable include: Ability to apply functions to elements of the matrix Ability to filter rows by column contents Ability to transpose rows with columns An option to load text files produced by R (which are, by design, broken) Removed the getter for columns, using dictionary-like syntax directly A lot of bug fixes The download links on [the project page]({{ site.

Finally a new entry! I’ve been extremely busy with other things, that is why I did not have time to write more. One of the main reason is related to an important landmark in my professional career, but I’ll write more about it after January 1st (hint: those who follow my Twitter updates may have already understood). As a nice way to break the hiatus, I’m releasing a new version of DataMatrix, my implementation of R’s data.

Ok, ok… my definition of “tomorrow” is not like what most people use, apparently. Although I took quite a while, now [there is a static page on DataMatrix]({{ site.url }}/projects-2/datamatrix). There you will find a summary of wht I wrote in my other blog posts regarding this module. Of course, it will be kept up-to-date should I release a new version. Aside that, I put a contact form on this blog.

At last, since it’s been like ages, I decided to put out a new version of DataMatrix. For those who haven’t seen my previous post, DataMatrix is a Pythonic implementation of R’s data.frame. It enables you to manipulate a text file by columns or rows, to your liking, using a dictionary-like syntax. In this new version there have been a few improvements and correction to a couple bugs (for example saveMatrix did not really save) and the start (only a stub at the moment) of an append function to add more columns (I’ll also think about a function to add rows).