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Joined 1 year ago
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Cake day: June 15th, 2023

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  • Sorry, this isn’t helpful. I migrated the hard way, hah. I just went to each page in OneNote and hit ctrl+a, copied that and pasted without formatting into TriliumNext, then fixed the formatting.

    It took some time, but was worth it to me. I figured it would be a good test to help me familiarize myself with TriliumNext a little.

    An easier path to help adoption would probably go a long way, but it also might eat up a lot of development time and routinely need work. I’m not sure how often the OneNote export formats change.







  • Showing free demos as their own line item in the store suggestions feels counterintuitive. As a user, I don’t want this, it just clusters the interface. I want to see the main game and something on it indicating a demo is available.

    As for developers, discoverability is something they are always talking (complaining) about. Artificially inflating the sheer number of competing games for visibility seems like an odd choice in that regard.




  • So, a dark pattern is a design that tries to trick the user into something. But what is the word for “knowing what the user wants, blatantly ignoring it and imposing the companies will anyway”?

    Example: I think YouTube shorts are a terrible format, and I find them generally irritating. So I click the X on the element in YouTube that has a bunch of side scrolling cards, where each card is one of these shorts. YouTube informs me it will hide them for 30 days and then they’ll be back.

    Another example, Windows Update. I’ve set all the group policy settings so it should never restart and update without me triggering it. But, if I allow it to download the update, then damn my group policy settings, it is going to apply that update and restart whenever it wants.








  • This is only tangentially related to improving your code directly as you have asked. However, in a similar vein as using source control (git), when using Python learn to manage your environments. Venv, poetry, conda/mamba, etc are tools to look into.

    I used to work with mostly scientists, and a good number of them knew some Python, but none of them knew how to properly manage their environments and it was a huge problem. They would often come to me and say “I ran this script a week ago and it worked, I tried it today without making any changes and it’s throwing this error now that I don’t understand.” Every time it was because they accidentally changed their dependencies, using their global python install. It also made it a nightmare to try to revive old code for them, since there was almost no way to know what version of various libraries were used.