• Online courses

    I recently completed the Machine Learning Foundations course offered through Coursera by the University of Washington. I found it to be more accessible and more of a survey class than Andrew Ng's Machine Learning course. It was eye-opening to learn how powerful machine learning algorithms are relatively easy to begin working with. Thinking about what kinds of breakthroughs the present AI summer will lead to is exciting. I'll probably continue to take a hobbyist's interest in ML and deep learning--luckily there's an endless torrent of free or inexpensive material on the subject.

    After that I decided to take another course that was more applicable to my regular SE job--Functional Programming Principles in Scala. So far the class is challenging and fun. And it's nice to have an excuse to work with IntelliJ IDEA. I have a decent grasp of practical functional programming from doing Clojure development at work, but I wanted to get a more formal exposure to it.


  • Started using Spacemacs

    For a long time I'd been using Sublime Text as my primary code/text editor, and I loved it very much. A few months ago, though, I decided it was time for a change. Connecting to an nrepl via Sublime wasn't supported, I had some concerns about the long-term support of a closed-source editor, and I started hearing about an editor called Spacemacs.

    As someone who doesn't find the endless text editor war particularly interesting, and who just wanted a modern, powerful all-purpose editor, Spacemacs appealed to me. Longtime users of either Vim or Emacs will likely scoff at Spacemacs' unholy marriage of the two. Spacemacs is essentially a bunch of configuration on top of Emacs with Vim keybindings as the default ("The best editor is neither Emacs nor Vim, it's Emacs and Vim!"). Whenever I tried to pick up Emacs in the past, I found the keybindings unintuitive. I liked Vim keybindings more (and had been using ST's Vintage Mode to approximate that), but both Emacs and Vim lacked for me the seamlessness of ST's Package Control and its aesthetic.

    Spacemacs seems to be the sweet spot for now. Its "layers" system is almost as simple as ST's package manager and the keybindings are logical and consistent across modes. And it looks good with very little customization.

    Screen Shot 2016-04-29 at 5.33.17 PM

    It's not without warts--some mode buffers don't support evil keybindings and will fall back to Emacs bindings. The community-configuration is a double-edged sword: you get a lot of nice stuff out of the box, but when something goes wrong it can be hard to know how to fix it, although the community I've found to be helpful.

    Some of my coworkers seem to have expressed worry that I'm investing time into what they see as a dead-end editor--that ten years from now I'll have accumulated a bunch of useless muscle memory. I'm not too concerned.

    Screen Shot 2016-04-29 at 5.17.27 PM


  • 2015 Review

    Professionally, I grew a lot in 2015. I started working at RJMetrics in April 2014. It was my first experience at a start-up, and my first real foray into writing software for the web. The shift in workplace culture and technology I experienced that first year made me excited and anxious. I was learning new stuff at a fast clip, and I'm happy to say that in 2015 that rate of learning didn't slow down.

    In 2015 I made the jump from mostly front-end development to a mixture of front- and back-end. I finally started learning Clojure and functional programming.

    I still do front-end work, and I've become someone that other members of the team come to with AngularJS questions. I feel more comfortable with Sass and styling than I did at first, and I'm more familiar with Gulp and our other front-end tooling. I'm looking forward to playing with Angular2, and maybe even ClojureScript and/or React down the line.

    Over a few weeks in my downtime I built a single page app using Angular. Tumblr Top gives users a quick visual overview of a Tumblr blog's top original content.

     

    Screen Shot 2016-01-06 at 8.34.52 PM

      

    Screen Shot 2016-01-06 at 8.35.37 PM

     

    This was fun because it was my first Angular app from scratch, my first experience with Material Design, and the first project I put on my public GitHub account.

    It took me a while to pick up Clojure. I'd only ever done imperative programming, and I initially found Lisp syntax intimidating and confusing. And there was so much vocabulary. Arity, records, multimethods, monads, macros, etc.

    There was a chicken/egg situation where I wanted to work on a Clojure project to learn the language, and I needed to learn the language to work on a Clojure project. Slowly, I began edging into it. Outside of work I did 4clojure problems, occasionally visited Clojure for the Brave and True, and began reading The Joy of Clojure (which I gave up and then later picked up again).

    I did get a chance to use Clojure heavily at work--it came near the end of the year when my team was tasked to design and implement a notification system. In short, this new service allows for end-users to receive notifications about actionable errors throughout the system. The various microservices publish some event messages about their state, and the notification service consumes those messages, sending the proper email and/or in-app notifications. Making the new service robust, scalable, extensible, and idempotent was challenging, but it was probably the most important professional experience I had in 2015. The project is nearly done, but I finally feel comfortable with Clojure. I'm excited to continue using this beautiful and expressive language.

    Over the summer I gave a presentation at work about the publish-subscribe messaging pattern. I enjoyed researching this topic and thinking about ways that our microservices could make use of an event bus and the pub/sub pattern.

    Our production infrastructure at work is largely on AWS. This year, mostly due to my role on the notification project, I got a lot of exposure to this DevOpsy side of things. The notification pub/sub system employs SNS and SQS in a fanout topology, where message producers publish to an SNS topic. That topic fans out to one or more SQS queues, which consumers then read from. I touched other parts of AWS, too--OpsWorks and CloudWatch come to mind.

    In general, I feel more comfortable at work in terms of the environment and my place within the company. I also feel more confident in my abilities.

    The coming year looks promising. I want to increase my focus on my hobbies. I want to learn more about Clojure and use it in a personal project (maybe something with machine learning?)

    PS: A few weeks ago I started using Taskwarrior to keep a todo list at the command line, and it's helped my focus at work tremendously.

    Outside of work, in 2015 I:

    • Finished reading Infinite Jest. It took me an embarrassingly long time, but it was likely the best book I ever read. In 2016 I want to read more. I renewed my library card and everything.
    • Moved the literary web magazine I help run from loose HTML/CSS to WordPress. It's now a lot better for mobile devices, and a lot easier to maintain and expand.
    • Tried out jogging...it's pretty fun. By the end of that experiment I was able to run three miles straight. Hopefully I'll have the drive to pick it up again in the spring.
    • Visited Savannah, Nashville, and North Carolina's Outer Banks. I should travel more, too.

  • deWordify Updated

    I just updated deWordify, a tool to convert Microsoft Word files to HTML. Now, you can optionally remove any unnecessary non-breaking spaces or line breaks formatted as paragraphs that are sometimes in Word files.

    I made deWordify to help me format the Microsoft Word writing submissions that end up on the online literary magazine I maintain. I like that process improvement doesn’t really feel like work, but it’s probably some of the most important work.

     


  • Machine Learning

    I started taking a Machine Learning course through Coursera. Finished the first programming assignment last night, which was to implement gradient descent for linear regression with one variable in Octave (or MATLAB). I’m not sure I’ll ever get to use ML at work, but it’s interesting as heck.