structured-text-tools VS datasette

This works well in scripts and logs of all the commands you need to do to reproduce the current state of the system from a scratch install. Also can be used with diff -u and patch, sed, perl, and awk oneliners and structured text tools. You can also capture most of the commands using sudo logging feature but it won't capture the here documents. But for modest size files you can use newlines in echo commands. Note that commands which use redrection should use something like ~~~~ sudo bash -c "echo 'foo' >>file.txt" ~~~~ instead of "sudo echo foo >>file.txt" or "echo foo | sudo tee -a file.txt

TFA is about how to handle csv files with awk. This might be useful in straightforward cases.

For all others I’d recommend to have a look at

https://github.com/dbohdan/structured-text-tools

which lists tools to handle structure text formats

in general, I'd pick something from https://github.com/dbohdan/structured-text-tools

Also, here is a list of structured text tools. You may find some tools there that are helpful in editing configuration files from the command line. Or you can use "diff -u" to create a patch file (you need to save the patch files along with sudo.log) to recreate. Also, use sfdisk --dump and sfdisk --backup to save partition information in a form that can be used to recreate backups.

Simon Willison's github would be a great place to get started imo -

https://github.com/simonw/datasette

I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/

I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:

1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.

2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.

Were you aware of, or tempted by https://datasette.io/ for creating your solution?

Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.

I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.

Not too literally, but more on the conceptual level - my level of programming is low.

E.g. Just some....

- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]

You might like the Datasette project: https://datasette.io/

I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.

Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.

> uploads of boring raw excel data and receive a nice UI

https://datasette.io/