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Practical guidance and templates for writing Python code inside n8n Code nodes—covers data access patterns, return format, limitations (no external libraries),
Provides expert guidance for authoring Python code in n8n Code nodes, including templates, data-access patterns (_input/_json/_node), return-format requirements, and a checklist of common mistakes to avoid. It explains Python vs JavaScript trade-offs and lists useful standard-library modules available in n8n.
Use this skill when you need to write Python inside an n8n Code node for data transformation, filtering, aggregation, or light validation—especially when Python's standard library simplifies a task. Prefer JavaScript for HTTP-heavy workflows or when n8n helpers are required.
Inference: Works with agents that run or author n8n workflows and can edit code nodes (e.g., Copilot-style IDE assistants, code-authoring agents).
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