Indian PIN Code Regex for Python
/^[1-9][0-9]{5}$/What this pattern does
This page provides a lightweight, single-purpose regular expression for matching indian pin code, ported and verified for Python. A rigorously tested regex reduces debugging time and protects your application from edge-case failures. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.
Python Implementation
# Indian PIN Code
# ReDoS-safe | RegexVault — Localization > Postal Codes
import re
indian_pin_code_pattern = re.compile(r'^[1-9][0-9]{5}$')
def validate_indian_pin_code(value: str) -> bool:
return bool(indian_pin_code_pattern.fullmatch(value))
# Example
print(validate_indian_pin_code("110001")) # TrueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
110001 | 01001 |
400001 | 10000 |
700001 | 1100001 |
600001 | 11000A |
500001 | 0 |
When to use this pattern
This pattern is drawn from the Localization > Postal Codes category and carries a ReDoS-safe certification. That matters for Python developers because particularly important in Python web servers where CPU-bound regex operations can stall concurrent request handling. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
Not all 6-digit combinations starting with 1-9 are valid PIN codes — validate against India Post's postal database for confirmed delivery. Military Field Post Offices (FPO) use codes in the 900xxx range.
Technical Notes
Indian PIN code structure: first digit = postal zone (1-9, excludes 0), second digit = sub-zone, third digit = sorting district, last 3 digits = individual post office. Delhi is 110xxx, Mumbai is 400xxx.
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