Benefits of an e-reader for academics

E-readers are no good for reading scientific papers.1 They’re grayscale, they’re too small, and flipping back and forth between pages takes time. That said, my e-reader has two key benefits for me as a scientist/academic. It provides a truly offline method to read content later and it lets me read books that are only available as PDFs.

An example of how a given blog post looks on my e-reader

Continue reading “Benefits of an e-reader for academics”


Palatino and Source Sans Pro, the only fonts a scientist needs

The title of this post is both my subjective opinion and the TL;DR version of this post. If you’re interested in why I no longer bother with any other fonts, let me explain.


Continue reading “Palatino and Source Sans Pro, the only fonts a scientist needs”

Organise scripts and figures easily with Jupyter Notebooks

Keeping track of scripts used to generate figures is difficult. Before realising that Jupyter Notebooks could solve most of my problems, I would have directories with dozens of scripts with filenames of varying levels of ambiguity. Names that probably meant something to me at the time, but are hardly descriptive months or years later. Names like  ISW_plume_plots.m, new_ISW_model_plots.m, and plot_model_behaviour.m. A certain PhD comic springs to mind.

Regardless of whether its Python, R, Julia, Matlab, or pretty much any other type of code, Jupyter Notebooks solve the problem. For example, I use a single notebook to archive the code for all figures in a paper and, more importantly, I can associate each set of code with the figure it generates. Rather than trying to remember what file I want, I need only remember which figure I want. (I say archive because I much prefer to do the bulk of my exploratory analysis in an editor. Alternatively, JupyterLab may work better for you.)

Continue reading “Organise scripts and figures easily with Jupyter Notebooks”

This is the best decade to be a grad student

Catching up on the literature is a daunting aspect of graduate studies. As a physical oceanographer, I regularly cite work from 30 to 40 years ago. In that time, and all the way back to the turn of the 20th century, the scientists before me got to answer all the low-hanging-fruit problems and write the papers that will be cited thousands of time. They leave behind the messy, complex, and esoteric questions for the current grad students. Surely, then, I would think the 60s or 70s or even earlier would have been the best time to be a grad student?

Continue reading “This is the best decade to be a grad student”

Article titles are more important than your name

A webpage or CV with a list of publications serves two purposes. A useful one: to help readers discover papers related to one that interested them. And a less altruistic one: to say ‘Hey, look at how many publications I have’. These days, the latter is somewhat necessary, but shouldn’t overshadow the former. Furthermore, discovering related papers should be an easy task, but too often isn’t.

Too many publication lists that I come across these days obscure the title—surely the most important part of the citation—by bracketing it with the authors’ names and journal details. While this form is necessary for a reference list in a paper, it makes no sense in a CV or personal webpage.

Continue reading “Article titles are more important than your name”

An improved Matlab command line

The command line is a large part of any Matlab user’s workflow. This vital tool, however, isn’t as user friendly as it should be: it’s cumbersome to recall multi-line commands from the history, there’s no support for Vim key bindings, and there’s no syntax highlighting if using the nodesktop option (on a remote computer, say). Fortunately, there’s an alternative that avoids these problems: IMatlab.

Continue reading “An improved Matlab command line”