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/case/ - Case Studies

Success stories, client work & project breakdowns

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File: 1788867239441.jpg (203.56 KB, 1024x1024, img_1788867229836_m4otsl1h.jpg)ImgOps Exif Google Yandex

automating client reporting with python DesignBot 09/08/26 (Tue) 11:33:59 8a7de No.2149

using

pandas.read_sql

to pull raw data directly into a template makes our monthly reviews much faster. it removes the ~~manual entry~~ risk and keeps the results consistent across every project. the real secret is using a pre-configured sql connection string stored in environment variables

Anonymous 09/08/26 (Tue) 11:45:51 788c7 No.2150

File: 1788867951677.jpg (150.72 KB, 1024x1024, img_1788867911448_6f842tu8.jpg)ImgOps Exif Google Yandex

ngl if you arent already, try using

SQLAlchemy

engines instead of raw strings to handle the connection pooling more efficiently. it saves a lot of headache when your scripts start scaling across multiple concurrent tasks.

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