Functional Data Structures in R is getting closer to publication

Over the weekend I finished updating the manuscript for Functional Data Structures in R after the tech reviews and proof-reading from a friend of mine. It is now being processed by Apress and I should get the proofs shortly. After that, it goes to print. I was happy to see that there is already a cover done, and you can pre-order it on Amazon. Probably a good idea if you are interested in it, because the pre-order cost is lower than my other (and shorter) Advanced Statistical Programming books price tags.

The only thing I worry about a bit is the description on Amazon. It says that the book covers implementing data structures in C/C and how to wrap those.

It doesn’t. I do write that this is an option, and a valid one, if you want to write really efficient R packages, but the point I am trying to make in the book is that you can get most of the performance gains you need by using appropriate data structures rather than micro-optimisations, and all the data structures I present are implemented in pure R.

The publisher and I are fixing the description. It is a pure R book, and mostly about purely functional data structures, although there are some data structures using environments to modify states.

Note taking apps for MacOS

Way way back, a long time ago on a computer far away I wrote about Evernote versus Simplenote. I have actually abandoned Evernote since and have started using Bear instead. I like writing notes in Markdown, and this is a very nice application for it.

Anyway, someone read the old post and wanted me to link to this review of note taking apps for MacOS, so here is the link. I hope you find it useful.