It’s time for a new update to Seafoam, the website theme currently in use here (on my Blog) and by my wider site.

Version 1.2.0 of the plugin has been released and posted PyPI.

The biggest change this version brings is support for Pelican version 4. Thanks to Nick Perkins for reporting the issue, and to Therry van Neerven for providing a Pull Request I could crib a solution from.

Writing these posts about the new releases is often a little funny because the changes made are often so small that they don’t really feel worthy of their own post, but collectively, they start adding up. So this post actually covers five releases combined: 1.0.3, 1.0.4, 1.1.0, 1.2.0, 1.2.1.

I’ve decided to start a new project: building a traffic model.

After 5 years away, I return to the ocean.

Updating my version of the Transportation Research Board (TRB) reference style for use with the reference manager in Microsoft Word 2013 and 2016.

Photosorter is a little Python script to keep my photos from Dropbox organized.

It watches a source directory for modifications and moves new image files to a target directory depending on when the photo was taken, using EXIF data and creation date as a fallback. There is also an option to move existing photos.

In this article I’ll talk about how I automated updating my Pelican-generated blog using a combination of PyPI, Travis-CI, and GitHub pages. This is something that has been in the works since I first switched by blog to Pelican.

…and static site generators more generally.

This is a summary of a presentation on Pelican I presented on May 9, 2016. It covers some of the building blocks of Pelican, and then provides several examples of Pelican in use.

As a personal note, this presentation follows my own path of learning and growth with these technologies. I should note that I’m not a programmer or a web developer by trade; that everything I’ve done with Pelican has been as a part of another job or for personal projects. I hope to show you very practical applications of Pelican, rather than theoretical projects.

Image Process is a plugin for Pelican, a static site generator written in Python.

Image Process let you automate the processing of images based on their class attribute. Use this plugin to minimize the overall page weight and to save you a trip to Gimp or Photoshop each time you include an image in your post.

Image Process also makes it easy to create responsive images using the new HTML5 srcset attribute and <picture> tag. It does this by generating multiple derivative images from one or more sources.