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Señor Doggo
@fubuloubu
Have been thinking about partial queries in Ape for literal years now. Thanks to some rapid prototyping with Grok /ai, very close to something can use in production to source large data queries (much) more quickly and efficiently from multiple sources in parallel, like Allium, @dune.eth, /subsquid, and more If you're interested in writing a plugin to integrate with your favorite data service, let me know in the comments. Hopefully will move into experimental feature under v0.8.x, and become default by v0.9.0 Use cases this unlocks: - super fast backfill and bot backtesting with silverback - hostable ape data science notebooks - AI/ML model training with chain data
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Señor Doggo
@fubuloubu
Oh, and most important bit for data engineers: get rid of Pandas requirement with Ape, in favor of BYO dataframe library via Narwhals (as well as reducing Ape package install size significantly). Finally use polars with Ape! Hopefully completely yeet pandas by v0.9
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