reader VS datasette

I like this pattern so much, I wrote an article about it; if you want to see what it looks like in real life, check this out.

It can also be used to build bookmarking / read later functionality similar to that of Tiny Tiny RSS; extracting content from arbitrary pages would be pretty helpful here.

To find out more, check out the GitHub repo and the docs, or give the tutorial a try.

[1]: https://death.andgravity.com/query-builder-how#more-init

[2]: https://github.com/lemon24/reader/blob/10ccabb9186f531da04db...

Looking now through the Python API docs, I found the Quoting characters for use in search thing, which may come in handy for something I'm doing for my feed reader library (deduplicating articles). Not sure if I'll vendor it or add sqlite-utils as a new dependency, but it's good to know someone already solved this problem (I have a prototype, but I haven't really tested it).

I'm happy to announce version 2.0 of reader, a Python RSS / Atom / JSON feed reader library.

I'm also working on the 2.0 version of my feed reader library. The backwards compatibility break allows me to clean up a bunch of unnecessary code and fix some bad design decisions; I've deleted 250 lines of code until now, and it's very satisfying.

The exact same problems None has when it's not a valid value. None is different from the variable type, that's why you have Optional[VarType], which is an alias for Union[VarType, None]; you can model this in exactly the same way: Union[VarType, MissingType]; here's an example.

reader is a Python feed reader library – it offers all the high-level things you'd want when making a feed reader app/website, except the actual web app.

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/