I’m not sure if anybody even realized I haven’t been posting lately but this is the longest hiatus we’ve ever had on this blog thus far. It was my normal practice to post pre-scheduled posts only every other week when on fellowships but now I totally went off the (WordPress) grid and I wanted to reconnect with you all. (And also, Easter greetings – if that’s something you care about!) As you might have imagined, I’m quite busy at the moment. I have some typesetting going on (my god, I’m not sure I will ever agree again to typeset a book that I’m also responsible for as an editor, it’s a crazy amount of work!), then I should finish my PhD thesis, I’m on a fellowship where I should finish a translation before heading off to the next fellowship which I hope I can actually get to because it’s in the US. So yeah, busy times. Although I have to
#100DaysofDH
I finally finished my own #100DaysofDH – Here’s the wisdom!
Like the title says, I finally finished my own #100DaysofDH challenge. And I haven’t kept my promise to you guys. I (think I) said I would continue blogging every second week but now I’ve left you hanging for a whole month! I’m so sorry. I will try to get back into a regular posting schedule (still reduced until the dissertation is done but I’ll try to at least post every once in a while). Anyways, as I’m nearing the end of my #100DaysofDH challenge (and having declared myself as the worst challenge founder ever in history), I’m starting to get philosophical and the wisdom is coming in. Since I couldn’t deprive you of that, here it comes. (It really isn’t that bad, actually!) Wisdom 1: Read error messages, it works! This one is kind of self-explanatory but once you’re in those long coding sessions, you sometimes forget to do the most obvious stuff. I just recently coded on some stuff
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Machine Learning for the Humanities: A very short introduction and a not-so-short reflection
Machine Learning is one of those hot topics at the moment. It’s even starting to become a really hot topic in the Humanities and, of course, also in the DH. But Humanities and Machine Learning are not the most obvious combination for many reasons. Tutorials on how to run machine learning algorithms on your data are starting to pop up in large quantities, even for the DH. But I find it problematic that they often just use those methods, just show you those few lines of code to type in and that’s it. Frameworks have made sure that ML algorithms are easy to use. They actually have a super-low entry level programming-wise thanks to all those libraries. But the actual thing about ML is that you need to understand it or it’s good for nothing. (Ok, I admit there are some uses which are pretty straightforward and don’t need to be fully understood by users, such as Deep Learning powered
A template for progress tracking #100DaysofX projects
You might have seen that I have written a little bit about #100DaysofX projects and challenges (such as the #100DaysofDH
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Create your Tweepy/AWS-powered Twitter bot in a day
This post wants to convince you to try out creating a Twitter bot using Python Tweepy and AmazonAWS Lambda because it’s easy and fun. Of course, you can use any other utilities but Tweepy and AWS Lambda are the ones I tried. This is not a full tutorial but I can make one if anyone is interested. Inspired by the #100DaysofDH challenge In this post, I will just give you some basic Twitter knowledge, links for what you need to know to get it done and a link to the github of my #100DaysofDH challenge for which I implemented such a bot. If you want more guidance, please let me know. Also, read the post on the challenge because I noted down some restrictions I realized the Twitter automation guidelines impose on bots as I went along. In my example, I think I’m in fact doing one or two things which you actually shouldn’t do (I think bots shouldn’t like
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Join the #100DaysofDH Challenge!
I have been following the #100DaysofCode community for a while now and thought that it was sad that there didn’t seem to be a connection with the DH community. 100 Days of Code is such a great project which is motivational for those willing to learn but also a great way to foster a community. So I thought, why not start #100DaysofDH and I did. Looking forward to your contributions! The main activity around this will be happening on Twitter (account is @100DaysofDH, hashtag #100DaysofDH) but there is also a minimalist github.io page: https://100daysofdh.github.io/ On the github, you can also find the current state of the Tweepy and AWS-powered bot. The story behind the creation of this challenge Before getting into the details of how the challenge works, let me share some thoughts that I had in mind for the adaption of the 100 days challenge to the DH (skip this part if you just want the rules which can
LaTeX Ninja'ing and the Digital Humanities 