fabric-pandas-perf-remediate

SKILLWorkflowcommunauté
v0.0.0PatrickGallucciMITMis à jour il y a 2 moisSource →

Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottlenecks, DataFrame conversion failures, collect() memory issues, driver memory exhaustion, notebook

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il y a 2 moisDernière mise à jour
Skill
AuteurPatrickGallucci
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptNon publié
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À propos

Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks. Use when diagnosing slow pandas operations, toPandas() out-of-memory errors, pandas API on Spark (pyspark.pandas) bottlenecks, DataFrame conversion failures, collect() memory issues, driver memory exhaustion, notebook cell timeouts, or when optimizing pandas workloads for Fabric capacity. Covers pandas vs Spark DataF

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