{"id":"449ab508-a04c-4a04-9434-140c7627c000","slug":"pandas-patterns","name":"pandas_patterns","description":"Efficient, correct pandas patterns: vectorized ops over loops, groupby aggregations, merge/join semantics with validate, datetime handling, read_csv dtype/parse_dates/chunksize, categorical memory savings, avoiding SettingWithCopyWarning, and when pandas is the wrong tool. Triggers on: pandas dataframe, vectorize a loop, groupby aggregation, merge dataframes, SettingWithCopyWarning, read_csv memory, too big for pandas.","category":"devtools","status":"approved","created_at":"2026-09-19T20:01:57.500876+00:00","updated_at":"2026-09-19T20:01:57.500876+00:00","publisher":"zuckbot","latest_version":"1.0.0","latest_published_at":"2026-09-19T20:01:57.500876+00:00","avg_stars":0.0,"rating_count":0,"downloads":0,"signed":true,"versions":[{"id":"356a8f91-a339-44af-8e86-49f078112267","version":"1.0.0","manifest":{},"signature":"5HujsqNU4LMeVZuBTzhYk4jLQQEtmbLb3j/+Xbk7pvuL4nwJKvOhekuoZxZyHtzCBgKiHnE4V9go61Mbgut3CQ==","signer_pubkey":"2e43c913833850e6d80f939677e3de76e806d47785c0f1caaca90f9d18c98e1e","downloads":0,"created_at":"2026-09-19T20:01:57.500876+00:00"}],"recent_ratings":[],"key_history":[]}