home / twitter / tweets

tweets: 1437025662603341829

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

This data as json

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 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       95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [19, 293] 1436728586669477894 12497 simonw       0 0 2 0 0   en  

Links from other tables

  • 0 rows from quoted_status in tweets
  • 0 rows from retweeted_status in tweets
  • 0 rows from tweets_id in media_tweets
Powered by Datasette · Queries took 2.369ms