jasonpbecker
Joined 14 years ago
Joined 14 years ago
Mamdani won the primary for the democrats over Cuomo, but Cuomo decided to try and do an independent run to further challenge him.
It's never been about making government more effect or efficient-- it's the managerial equivalent of the "starve the beast" mentality.
Anyway, services like Feedbin have been going strong for a long time, have a rock solid syncing system with great tools for things like seeing frequency of posting and abandoned or moved feeds, folders, automatic filters, and broad support in the app ecosystem if you don't like their apps or web experience (which is very good).
RSS is absolutely extensive and has millions of users. It's at least as mainstream as Mastodon/ActivityPub, it's just not talked about as such, and that's _excluding_ Podcasts as a use case.
Except... this is exactly was R was created to do, with a focus on mathematical/statistical libraries written in things like FORTRAN.
R is great as a glue language for these purposes if the purpose of calling that low-level compiled code is largely to work with data and especially if that data is not so large/computationally intensive to work with that it does not need to be distributed across hardware.
That includes OPML export (which remained available online but has returned to the app), arranging items (always possible throughout, but there were some new sync bugs that had to be worked out, IIRC), Go To Podcast (click the three buttons, last option in menu) from an episode, etc.
Maybe that's where Ulysses wants to go, and its own implementation of some non-standard elements suggests that. But I also know people who will not use Ulysses because of its non-standard Markdown elements resulting in files that are less portable.
select
column_name,
MAX(value) FILTER (where meta_key='total_rows') as total_row,
MAX(value) FILTER (where meta_key='not_null_count') as not_null_count,
ROUND(SUM (amount_in_cents) FILTER (WHERE EXTRACT(MONTH FROM TIMESTAMP '2006-01-01 03:04:05) = 1) / 100.0, 2) as 'january_sub_total'
FROM table
GROUP BY column_name