twitter: tweets: 1 row where "created_at" is on date 2021-09-12 and in_reply_to_screen_name = "simonw" sorted by lang descending

This is data scraped from swyx's timeline! See blog post

1 row where "created_at" is on date 2021-09-12 and in_reply_to_screen_name = "simonw" sorted by lang descending

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id	user	created_at	full_text	retweeted_status	quoted_status	place	source	truncated	display_text_range	in_reply_to_status_id	in_reply_to_user_id	in_reply_to_screen_name	geo	coordinates	contributors	is_quote_status	retweet_count	favorite_count	favorited	retweeted	possibly_sensitive	lang ▲	scopes
1437025662603341829	swyx 33521530	2021-09-12T12:09:51+00:00	@simonw @pradyunsg to me, that is @anacondainc - i know it has its drawbacks, but it’s so nice living in Anaconda’s world. I’m unclear about how the larger Python community feels about it (similar to how Apollo dominates GraphQL) but they’ve certainly done a better job than anyone else i know				Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20	0	[19, 293]	1436728586669477894	12497	simonw				0	0	2	0	0		en

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);