fabric-pandas-perf-remediate

SKILLWorkflowcommunity
v0.0.0PatrickGallucciMITUpdated 2mo agoSource →

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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16Repo stars
1Clients
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2mo agoLast update
Skill
AuthorPatrickGallucci
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
PromptNot published
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About

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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