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Joined 2 years ago
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Cake day: December 8th, 2023

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  • I feel like Python is sometimes too powerful in terms of what you can achieve with few lines of code. It tends to have lines that do a lot of things at once and therefore become very hard to understand despite not having a lot of code at the surface.

    In my opinion it is very good for stuff like data analysis and scripting test setups, but (with my admittedly limited experience in the area) I dislike using it for larger applications. Because it is a scripting language and not compiled, I have run into errors that a compiled language would have detected before even starting. Meanwhile python was happy to run my program until it unfortunately branched into the defective path…

    If you want to build stuff quickly it is incredibly what you can achieve with it though.












  • My first internship I kind of landed by talking to a company representative at a career fair organized by my university and then mentionjng said guys name in my online application. Not sure how much impact that actually had but I guess it might have helped.

    My second internship I found via linkedin. I just looked for companies there that had somilar positions or actually posted internship positions and then went to their website to apply and look for possible other open positions I could send a slightly altered letter from my first application to. If a company sounded interesting but didn’t have any internships on offer I sometimes just sent them an unsolicited application. Honestly I don’t remember how much feedback I got on those though.

    Should be obvious but I also didn’t limit myself to looking for companies close to where I lived at the time. In the end I had to move literally to the other end of the country.


  • I didn’t read the book but watched the movie instead and I don’t know how much is different between the two.

    It needed a bit of patience to get through it to be honest. In my opinion, it’s more a kind of book/movie you read/watch because of its message, not because it’s particularly entertaining.

    In a way, I guess that could be seen as part of the message if you look at it as a warning of what could be instead of as a story that is fun to experience.



  • A while back I trained a small LSTM based neural net to classify the power phases of a device I work on based on their current consumption over time.

    The model worked seemingly great and it took a while for me to notice that it did not catch every phase perfectly.

    Yesterday I created a larger and more complex CNN based model on the recommendation of my coworkers which I trained over night since I had to use my work laptop. When applying it to my real data I ran out of RAM. After fixing this issue and getting it to run, it misclassified far too many samples.

    I spent the rest of the day building an algorithmic solution that has yet to mislabel a single sample.

    This isn’t really all that relevant to the post I guess but I found it a nice reminder to myself to actually think about a problem instead of throwing brute force at it and hoping it will solve it. As a side benefit, I can now actually explain why my data is classified the way it is instead of pointing at a black box. There are definitely usecases for AI but you should know enough to recognize when an algorithmic approach is better suited.




  • I kind of railroaded myself into using calibre unfortunately.

    I have a very specific filenaming scheme which I originally came up with back when I only used folders for organising my books in order to group together books that belong to a series but where the series is part of a larger universe.

    Basically my folder structure is {World}/{Reading Order}; {Series} #{Series_Index} - {Title} - {Author}

    On my kobo I have the autoshelf plugin installed which automatically parses this information when I add books and groups them together by world while filling out the series information.

    In order to properly make use of this system I need to use Calibre custom columns and be able to export the books I want with this specific name format. I have yet to find a program other than calibre that would support this.

    It would probably be smarter for me to reorganize my books at some point but I really like being able to basically drop a ton of books at once onto my reader using SFTP and as far as I can tell all common options rely on manually downloading the books, sending them directly to the reader or pulling them from their internal file storage in whatever form the application stores them…

    I do like Audiobookshelf for the ability to add a book to multiple series, but the missing mass export functions stop me from switching


  • I name mine after greek and roman gods.

    My NAS is bamed Hestia, the goddess of the bearth and home.

    My docker server is called Poseidon due to the sea iconography of docker. My second iteration of my docker server where I tried playing around with podman I called Neptune.

    I briefly had a Raspberry Pi for experimenting with some stuff which was called Eileithyia, the goddess of childbirth.

    My Proxmox machine on which pretty much all ky other servers are run as VMs is called Atlas, as the Titan holding up my personal network.

    I also have a truenas VM which I boringly called truenas…