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Joined 2 years ago
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Cake day: June 10th, 2023

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  • Bash is always there, and bash scripts and snippets are precise. Describing gui manipulations when the GUI keeps changing is also quite hard… what if the person you are interacting with has a 2-yo system and you have the bleeding edge? Even knowing which menu the settings are in can be frustrating for the helper.

    Windows users (e.g. me at work) get grumpy when Microsoft starts changing the menu structure after keeping it consistent for 20 years and start thinking of powershell scripts to create consistency between our engineering workstations.



  • They are text files. If there is anything weird about them it is that they are indented with spaces and if you are inconsistent with indentation they won’t read into the yaml import function, but I can’t imagine why vim or nano would have a problem with opening them. Maybe the ones you were using were not actually yaml.












  • Read other people’s code… particularly code by experienced developers. One good way to do that is to single-step debugging through the test code in a well-known package, stepping into the code being tested.

    I suppose if you don’t know how test frameworks like pytest work, tackling how they work and how to do single-stepping with some toy example code will be a prerequisite for the above, as will spending some time studying how packages are made. (The latter may seem unattractively tedious, but the knowledge will pay off even if you never become an expert at making your own packages.)

    These exercises are very likely to expose weaknesses in your understanding of all sorts of things. Be patient and keep studying!


  • When you come across some Python code for something written 5 years ago and they used four contributed packages that the programmers have changed the API on three times since then, you want to set up a virtual environment that contains those specific versions so you can at least see how it worked at that time. A small part of this headache comes from Python itself mutating, but the bulk of the problem is the imported user-contributed packages that multiply the functionality of Python.

    To be sure, it would be nice if those programmers were all dedicated to updating their code, but with hundreds of thousands of packages that could be imported written by volunteers, you can’t afford to expect all of them them to stop innovating or even to continue maintaining past projects for your benefit.

    If you have the itch to fix something old so it works in the latest versions of everything, you have that option… but it is really hard to do that if you cannot see it working as it was designed to work when it was built.





  • Noob question?

    You do seem confused though… Debian is both a distribution and a packaging system… the Debian Stable distribution takes a very conservative approach to updating packages, while Debian Sid (unstable) is more up-to-date while being more likely to break. While individual packages may be more stable when fully-updated, other packages that depend on them generally lag and “break” as they need updating to be able to adapt to underlying changes.

    But the whole reason debian-based distros exist is because some people think they can strike a better balance between newness and stability. But it turns out that there is no optimal balance that satifies everyone.

    Mint is a fine distro… but if you don’t like it, that is fine for you too. The only objection I have to your objection is that you seem to be throwing the baby out with the bathwater… the debian packaging system is very robust and is not intrinsically unlikely to be updated.