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Strengthen Input Verification in Python with Decorators and Validation Techniques

Create flexible, reusable validators and attach them swiftly to any function accepting user inputs

Max N
2 min readApr 9, 2024
Photo by Firmbee.com on Unsplash

Handling invalid input values represents a recurring challenge in software engineering. Addressing incorrect submissions frequently entails laborious checks scattered across sprawling code bases. Thankfully, Python empowers developers to tackle this problem succinctly using decorators and validation strategies.

Embark on a journey showcasing effective methods for designing robust input verifiers and integrating them harmoniously with Python’s decorator mechanics.

Prerequisites

Prior exposure to fundamental principles concerning:

  • Decorators: Compact abstractions expanding native Python functions’ inherent capabilities.
  • Data Modeling: Structured representation of entities and relationships facilitating meaningful interaction patterns.

Establishing Common Ground

Suppose we aim to enforce type constraints consistently across disparate parts of an application. Specifically, imagine the necessity of restricting numerical operands within arithmetic…

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Max N
Max N

Written by Max N

A writer that writes about JavaScript and Python to beginners. If you find my articles helpful, feel free to follow.

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