Long time no see! More specifically, 2106 days. A lot has changed, so let’s catch up.
Google Colab(oratory) is an invaluable resource for data science. You get GPU/TPU computing power while from a Jupyter Notebook frontend running on Google’s servers… for free! Surprisingly though, conda is not preinstalled in the default configuration. Learn how to fix it!
Doing computational research often means generating lots of data that needs to be processed and analyzed. In some fields, file sizes often go well into the gigabytes or even terabytes. If you have to work from home or are doing a short stay away from your workspace, downloading the full dataset to work on it locally is not only cumbersome, but inefficient. Are there any alternatives? Of course!
A couple of years ago I bought Aukey’s EP-B4 Bluetooth headphones so I could listen to some music in the gym without worrying about a wire. Instead I now worry about one more battery and an increasingly infuriating robotic voice.
Due to my PhD thesis, I am mostly concerned with molecular modelling software and the Python language. However, from time to time I also code something using other languages, like JavaScript. Update 2025: This used to be a page where I was supposed to add any new software projects I was involved with. I didn’t fulfil that purpose so what you see below is just a collection of the things I wrote during my PhD (until the end of 2018).
Like many, I wrote my PhD thesis using LaTeX. I had used LaTeX before, but not with such a big manuscript. I learnt a few tricks during that process that I think somebody might find useful.
Right now I should be writing my thesis. So instead I made myself a blog.