Clarifications Request: Address Representation Patterns in Documentation for Regulated Use Cases #143036
Description
Bug report
Bug description:
Current CPython documentation does not explicitly describe or reference recommended patterns for representing structured residential address data in regulated or compliance-oriented use cases (e.g., corporate records, KYC/AML, PEP disclosures).
While Python provides flexible data structures capable of modeling such information, the absence of documented examples or guidance may lead to divergent approaches across projects that rely on Python in enterprise or regulatory environments.
This issue is raised as a request for clarification rather than as a functional defect.
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Expected behavior
Optional documentation guidance or illustrative examples demonstrating how structured address data may be represented using existing Python constructs, with emphasis on clarity, immutability where appropriate, and interoperability.
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Observed behavior
Developers define address representations independently, which may result in inconsistent schemas and additional validation effort in downstream systems.
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Steps to reproduce
Not applicable. This is a documentation clarity request, not a runtime issue.
Title: Registered Residential Address (Corporate / PEP Record)
New Ashok Nagar
East Delhi
National Capital Territory of Delhi
Delhi – 110096
Republic of India
CPython versions tested on:
CPython main branch
Operating systems tested on:
Windows