I started off the year mostly working on Python projects. For January and February I finally started making some great progress with understanding modern web frameworks and use of CSS frameworks rather than rolling my own. This not only helped with the Prophecy Practicum project, but would form the backbone to a lot of coding this year. I also wrote a utility to tally up my videos for my end of year video game roundup, saving me literal hours of time. As you can read from following the link above, I also worked on my long-running Extra Life Donation Tracker code.

December was wholly dedicated to solving the Advent of Code 2022 problem set. Our job was to help the elves trek through the jungle to get magical starfruit. It was a lot of fun to do it live once again! This year I also had experience from the previous years (both live and on my own pace) that gave me the skills to solve some of the puzzles, including some puzzles that were variations on themes I’d seen before. In the end, I collected 36 stars, near my average for number of stars collected during AoC. Between work, family commitments, my programming and problem solving skill levels, that’s about the most I can usually do during the live period in December.

Python

This year I really worked a lot on Python web technologies so I came to appreciate all the work that the JetBrains team does to make all the little things (like running Django test server commands) incredibly easy. I essentially did all my Python development in Pycharm.  I’ve had access to the paid JetBrains suite because of the work I’ve done for my open source project: Extra Life Donation Tracker. Since development has slowed a bit on there, I may not be able to renew the subscription. If that’s the case, there’s a big chance that I’ll start saving up some money for a Pycharm Professional license. The only real exception to using Pycharm for programming was when I was editing code on a server. There I would use vim or nvim (more on that later).

November was not a huge programming month for me. On the weekends I was a little more focused with family stuff and videogames. But I did manage work on a couple projects.

Ever since 2010, I’ve been been using Python to automatically post my top 3 artists to Twitter. In 2020, it even became my first package on Pypi. With activity picking up on Mastodon, I ported the code over to that site. I also used the opportunity to clean up the code bit to my more modern coding standards. I haven’t created a package yet, but may soon enough.
I also did some work on my Extra Life Donation Tracker. I’d pulled out the API so that others could build on it, but, as a result, I was creating a Team object from the API rather than the inheritance version. I did a workaround to make it work, but I’m going to have to work at the code a bit more to make it less clunky.

As October came around, it was time to get ready for Hacktoberfest. I’ve been participating for the past few years and I love the fact that DigitalOcean supports this project which gets more people to contribute to free and open source software.

In the past, I’ve often contributed to my Extra Life Donation Tracker. Since the program is pretty mature at this point, most of the issues I have would have taken me too long, especially with how busy I’ve been with non-programming projects lately. So I dedicated my efforts to helping with some quality of life issues for the Prophecy Practicum (Django Version) that I’ve coded up for my friend.

This month I wanted to practice Go outside of Advent of Code puzzles. So I decided I would port over my Dreamhost DNS updating script from Python to Go. This would have the advantage of being a compiled program. Every time I update Python on my system, the virtual environment points to the wrong Python version and my program breaks. But, boy is parsing JSON in Go (at least with the built-in JSON tools) a real pain in the butt. I have to make a struct to hold and parse the data, but it comes back from Dreamhost as a 1-key dictionary holding an array of dictionaries. After a few hours of trying to figure out how to get Go to parse the JSON I was still unable to get the struct right. I may do a little debugging to see if I can figure it out before searching for any simpler JSON libraries.

August was a programming-filled month for me. It focused entirely on Python and I mostly continued working on established projects. Let’s jump in!

Amortization

I wanted to re-calculate the amortization table for my home loan for the first time in about a year. As a refresher, I created this program (vs using Excel or an online form) because we are not consistent in the amount of extra principal payments we make. For example, if I get a bonus at work, I might throw all of that bonus into the loan payment. So this program takes variable extra payments into account when creating the amortization table.

I started working my way back towards spending more time programming as the summer started (in between getting re-addicted to CDProjektRed’s Gwent).

I started off by working on my btrfs snapshot program, Snap in Time. I finally added in the ability for the remote culling to take place. (My backup directories had started getting a LITTLE too big) I also added in official text log files so that I wouldn’t have to rely on my cronjob log file hack.

In March I went back to Advent of Code 2016. In an effort not to get stuck, I decided to go as far as I can in Python before going back around and working on the other languages. So I did days 6 and 7 in Python. Overall, relatively easy Regex problems.

And that’s it. It was not a big month for programming. I mostly focused on playing with the kids and cooking. May/June are looking like they’re going to contain quite a bit more programming, at least relatively speaking. I’m hoping to both get back to work on some of my projects and also get back to Advent of Code.

I started off the year not expecting to do much programming. Compared to some months in 2021, I barely programmed, but I did end up programming much more than I expected. Let’s take a look at what I worked on in the first sixth of the year.

Python Programs

End of Year Video Games Helper

Coming off of last year in which I finally used Python to pull my last.fm data and create graphs, I decided to do the same for my End of Year Video Games blog post. I haven’t posted the code to Github, but here it is: