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A Quick Way to Learn Python: The Step-by-Step Guide to Learn PyQt and Database Applications by Vivian Siahaan, Rismon Hasiholan Sianipar (Paperback) #pythonbooks #databasecoding #viviansiahaan #rismonhasiholansianipar amazon.com/dp/1713262290/…

New from @WileyEngineer-@IEEEPress: Oracle Database Programming with Visual Basic.NET: Concepts, Designs, and Implementations by Ying Bai. For more info and to purchase: wiley.com/en-us/Oracle+D… #Oracle #visualbasic #databasecoding
New from @WileyEngineer-@IEEEPress: Oracle Database Programming with Visual Basic.NET: Concepts, Designs, and Implementations by Ying Bai. For more info and to purchase: wiley.com/en-us/Oracle+D… #Oracle #visualbasic #databasecoding
A Quick Way to Learn Python: The Step-by-Step Guide to Learn PyQt and Database Applications by Vivian Siahaan, Rismon Hasiholan Sianipar (Paperback) #pythonbooks #databasecoding #viviansiahaan #rismonhasiholansianipar amazon.com/dp/1713262290/…

What's the SQLite strategy for when databases get too big? Photo AI's photos.db is 35.2GB with 7,270,478 photos in it now (just metadata, pics are stored on R2) Should I make a script that empties older photos and put them in a photos_archive.db and keep the photos.db fast?

if i'm understanding this correctly, you can use a pure text encoder model to find text that lets you reconstruct an image from the text encoding. basically, the latent space of a text model is expressive enough to serve as a compilation target for images




🗓 Day 2 — WHERE (Filtering Data) Filter rows that meet certain conditions. SELECT * FROM Sales.SalesOrderDetail WHERE UnitPrice > 1000;

🗓 Day 2 — WHERE (Filtering Data) Filter rows that meet certain conditions. SELECT * FROM Sales.SalesOrderDetail WHERE UnitPrice > 1000;

This is a sample for an image post. The image URL goes in the column that says Image URL.

Este prompt convierte cualquier imagen en datos de estilo JSON reutilizables para que puedas replicarla perfectamente (úsalo con Gemini Nano Banana).

I see your database management system and raise you my DBMS dosa biriyani momos samosa




Temporal Encoding - Instead of stacking all images across time - Temporal encoding. Use Year, Month and Hour and discard day, minute and second

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