Its a tough problem. You have to find something that you want to exist; like an app or a website or a game. For example, try making a GUI for managing SSH keys. You know, like the ones github makes you create in order to clone and push to a repo. Make a visual representation of those keys (stored in the .ssh folder), and tools to add/delete them.

Along the way you’ll find tons of missing things, tools that should exist but don’t. Those are the “real” projects that will really expand your capabilities as a developer.

For example, I was coding in python and wanted to make a function that caches the output because the code was inherently slow.

• but to cache an output we need to know the inputs are the same
• hashes are good for this but lists can’t be hashed with the built-in python hash function
• we can make our own hash, but hashing a list that contains itself is hard
• there is a solution for lists, but then hashing a set that contains itself is a serious problem (MUCH harder than hashing a list)
• turns out hashing a set is the same problem as the graph-coloring problem (graph isomorphism)
• suddenly I have a really deep understanding of recursive data structures all because I wanted to a function that caches its output.

Ignore the name (neural networks might as well be a footnote). A more appropriate title would be “generic problems and algorithms”.

(Artificial Intelligence: A modern approach by Russell and Norvig)

https://github.com/Youquan1/Artificial-intelligence-books/blob/master/Artificial Intelligence A Modern Approach - Stuart J. Russell %2C Peter Norvig.pdf

I agree, and here’s a few different avenues of examples:

1. If trying to get past interviews, Leet code and hacker rank can be great. They’re not so great for real world problems, but not bad.

2. Advent of code is a good middle ground between theory and practice in my opinion.

3. To really learn real world problem solving, I’d recommend implement a specification, without looking at existing implementations. For example, make a basic regex engine (formal Regular Expressions not PCRE expressions), or try to implement the C Preprocessor, or the JS event loop.

“Algorithms to live by” https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1627790365

Less technical than you probably want, but it is useful for mapping real world problems to known algorithms.

I didnt upvote the other python-beginer friendly meme cause it wasn’t accurate. But this one is on point.

Celebrities are going to be shocked when they hear about email

If you paid a true professional to sit down 1-on-1 with you everyday for 6 months, and you are good at learning I think yes, for most but not all software positions. But unless you’re forking over $200k I don’t think any professional dev is going to do that for you.

This could actually be a pretty big deal

1. The Eclipse foundation has been making alternatives to VS Code’s “killer apps” (Docker, Python, Go, C++, SSH, Live share, etc). AKA the closed source ones exclusive to VS Code offical that make all forks of VS Code a huge downgrade. The Eclipse foundation is also running the extension store that powers VS Codium.
2. “why not just use VS Codium?” (With the killer extensions made by Eclipse)
   • VS Codium is great, but because of manpower limits, they always have to be “downstream” of VS Code. They can’t rewrite any of the core systems.
   • As someone who contributes to VS Code, and loves VS Codium, many issues I have with VS Code have been open on github for +7 years, with hundreds of comments and thumbs-ups. We can’t even sort the file explorer view by last-edited and folders-first (but we can do folders-first alphabetical). Thats been open since 2017.
   • Theia looks like it could finally be the hard fork I’ve been waiting for. A hackable editor, trying to be open source, where all my extensions work, and the community can actually make a PR, get it merged, and extensions are not excessively sandboxed.
   • Will it be that? Only time will tell, but the Eclipse foundation has a pretty good record. They’re definitely prepared for long term support.

“Select where you heard about typst”
-> Fediverse

Finally somewhere that actually has Fediverse as an option, this must be a good app.

Just commenting here to ping you that I found a new major alternative! I’ve edited the comment but TLDR; search “.NET Avalonia” and see what you think

The “front page” of most instances are not interesting to average people or to professionals (e.g. local gov that wants to go open source, like those switching to Mastodon).

Part is lemmy’s hot-sort is basically broken as a ranking, another part is bad language filters, another part is that major communities here (fediverse, Linux memes, star trek memes, science memes, etc) are off-putting to out-of-group people because of so many in-group jokes. Its a hard fix.

This is pretty cool. I’ve got a couple repos that Microsoft uses for VS Code. I switched one of them to GPLv3, but maybe I’ll switch the other to this license.

Same haha.

I’ve already started it twice for lemmy, but didn’t put in heavy effort yet. I’ve got a wrapper for nix that helps with common issues, but its on the messy side.

There are so many small GUI apps I want to make but I refuse until I can get Tauri to build an appimage and macos app within nix. It was more than a year ago since I put a lot of effort on that though. If you’ve got any tips/pointers or examples for tauri I’d be happy to hear them.

Sadly it still causes system instability even if you NEVER need the feature.

You might not need numpy at all, but Pandas needs numpy and Opencv needs numpy. Sometimes pandas needs one version and Opencv needs a different version. Well… python only allows one global verison of numpy, so pandas and opencv fight over which one they want installed, and the looser is forced to use a numpy they were not designed/tested for. Upgrading pandas might also upgrade numpy and break opencv. That causes system instability.

Stable systems like cargo coupld upgrade pandas, have pandas use numpy 1.29 without touching/breaking opencv (opencv would still importing/using using numpy 1.19 or whatever). That stability is only possible if the system is capable of having two versions of the same dependency at the same time.

And FYI to OP, if you can’t install two versions of the same library at the same time (ex: numpy 1.25 and numpy 1.19) then the answer to “has its dependencies under control?” is generally “no”.

• Deno (successor to NodeJS) is “yes” by default, and has very very few exceptions
• Rust can by default, and has few but notable/relevant exceptions
• Python (without venv) cannot (even with venv, each project can be different, but 1 project still can’t reliably have two versions of numpy)
• NodeJS can, but it was kind of an afterthought, and it has tons modules that are notable exceptions

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The more reliable/reproducible the container is the more pain/effort it is to setup. If you don’t need reliability, then you don’t need containers.

• If you want unbeatable reliability, use nix.
• If you want better-than-nothing use venv/anaconda envs (one or the other, not both)
• If you want the most reliability-per-effort and don’t care about performance, use distrobox

For standard notes, its got an auto-export plaintext file option on desktop. Were you wanting two-way editing of plaintext? (e.g. Auto export and import)

When you’re editing yaml, why not just always write JSON?

Almost all nix attr keys are unquoted strings. Maybe I’m missing the point list, but I kinda wouldn’t expect it to be on the list.

Despite my love of yaml. I actually think he has a small point with unquoted strings. I teach students and see their struggles. Bash also does unquoted strings and basically all students go years and years without realizing

cat --help
cat "--help"
# ^ same thing

cat *
cat "*"
# ^ not same thing

cat $thing
cat "$thing"
# ^ similar but not the same 

To know the difference between special and normal-but-no-quotes you have to know literally every special symbol. And, for example, its rare to realize the -- in --help, isn’t special at a language level, its only special at a convention level.

Same thing can happen in yaml files, but actually a little worse I’d say. In bash all the “special” things are at least symbols. But in yaml there are more special cases. Imagine editing this kind of a list:

js_keywords:
- if
- else
- while
- break
- continue
- import
- from
- default
- class
- const
- var
- let
- new
- async
- function
- undefined
- null
- true
- false
- Nan
- Infinity

Three of those are not strings. Syntax highlighting can help (which is why I don’t think its a real issue). But still “why are three not strings? Well … just because”. AKA there isn’t a syntax pattern, there’s just a hardcoded list of names that need to be memorized. What is actually challeging is, unless students start with a proper yaml tutorial, or see examples of quotes in the config, its not obvious that quotes will solve the problem (students think "true" behaves like "\"true\""). So even when they see true is highlighted funny, they don’t really know what to do about it. I’ve seem some try stuff like \true.

Still doesn’t mean yaml is bad, every language has edge cases.