Gooey VS missing-semester

It would be really cool if you Fang could generate a TUI form for you with https://github.com/charmbracelet/huh (by the same org). Is something like that on the roadmap?

Similar work: https://github.com/chriskiehl/Gooey and https://github.com/Sorcerio/Argparse-Interface

I've wanted to do this for my own CLI framework since 2023 ( https://github.com/bbkane/warg/issues/71 ), but I still haven't gotten around to it :D

The name conflicts with a similar python module that allows one to turn any Python console program into a GUI with one line.

https://github.com/chriskiehl/Gooey

Hey! Cool project! I have a question: why do you dump out sys.argv to a local file in the CWD? [0] tmp.txt is hardly a unique name… or am I missing something and this never triggers?

[0] https://github.com/chriskiehl/Gooey/blob/be4b11b8f27f500e732...

This might be of interest to you:

> Gooey - Turn (almost) any Python 3 Console Program into a GUI application with one line

https://github.com/chriskiehl/Gooey

I love gooey: https://github.com/chriskiehl/Gooey

It allows me to quickly slap a GUI on an existing script that accepts command-line-arguments. In the end, I get the best of both world: Discoverability from the GUI, automation through the script, and automatic feature parity between the two.

Downside: Control over the GUI layout is basic, and only "standard" GUI features work, but I never felt limited when using it.

similar for local/individual usage:

https://github.com/chriskiehl/Gooey - take a python-CLI, make a TK-windows

and then probably even simple dashboarding like streamlit.

The Missing Semester of Your CS Education Learn CLI, Git, and other real dev tools.

The solution is avoiding crappy UIs designed to "help those who do not know how to use a computer" keeping them in their ignorance to exploit them and damn teaching IT. The MIT Missing Semester of Your CS Education https://missing.csail.mit.edu/ should be mandatory for high schools in 2025. People than will choose not to buy services but contents, and instead of watching Netflix with multiple accounts in a family they'll simply milk a public catalog passing through their own recommendation engine/scoring system, downloading what they want and keeping it locally on their own storage having bought the bits, not the service. With the side effect of much reducing the enormous consumption of bandwidth and energy we have today to keep internet up for the old new mainframe model named "the cloud".

The push toward {fog,edge}-computing, new distributed LLM proposals like BrianknowsAI's DCI Network clearly show this trend. We need moldable systems not cages.

The recommendations in this thread so far do suggest a lot of nice books - CS:APP and SICP - but given your description of previous struggles with more academic stuff, along with the request for "practical examples or projects", I'm not sure they are right for you. By all means take a look, but don't be discouraged if they don't fit what you're after. An algorithm book with a somewhat different tone that you might check out is Skiena's Algorithm Design Manual. I've been reading Ousterhout's A Philosophy of Software Design recently and that might also be something that would interest you.

However, I might suggest that books and theoretical knowledge are not the main things you need right away. I moved into software engineering after a long time in science. I had done plenty of coding, and had a pretty decent amount of theoretical knowledge, but there was still quite a bit of practical adjustment. I really like Rzor's suggestion of https://missing.csail.mit.edu to start with.

Beyond that, I think maybe I would find some specific codebases that you'd like to understand better, and start with reading more of those. I feel like that's often better than books for picking up idiomatic usage and patterns in given domains. As you hit specific barriers, I think it will be much easier to pick up the intrinsic motivation to dip back into theoretical knowledge at that point.

It is more than just that. I used to recommend a lot the MIT's Missing Semester of your CS Education https://missing.csail.mit.edu/ to people that is not familiar with some topics at work.

The missing semester of your cs education

https://missing.csail.mit.edu/

You mentioned having issues with accessory concepts so perhaps this might help: https://missing.csail.mit.edu/. There's also a chapter on git

https://missing.csail.mit.edu/ is a good way to pass the Dec-Jan break if you want to prep for CS2030S + some more general stuff.

Reflecting a little bit more I don't think it was replit's fault, per-say. But that change should have been made together with a larger adjustment to the program. Like adding a class/unit in the style of [the missing semester](https://missing.csail.mit.edu/) to make sure people came away with a good range of intuitions.