Python Data Handling & Validation 🚀

A beginner-friendly collection of small Python exercises that demonstrate core programming concepts useful for QA and test automation: variables and state, user input, string manipulation, conditionals, length validation, clamping, and simple password checks.

Quick summary

• Purpose: Teach and demonstrate basic Python patterns useful for testers and automation engineers through short, interactive scripts.
• Audience: Beginners learning Python for QA, manual testers learning scripting, or anyone practicing control flow and string handling.

Repository Structure

• main.py — Simple interactive script demonstrating variables, updates, and basic input usage.
• practice_1/string_exercises.py — String indexing, slicing, length and replacement exercises.
• practice_1/conditions_exercises.py — Control flow exercises and small validations (number sign, modify leading 'A', basic email checks).
• practice_1/length_validation.py — Boundary checking for string length with user-friendly output.
• practice_1/practice_exercises.py — Age clamping/categorization and password validation with specific error messages.

Features & Teaching Points

• Interactive I/O and input() usage for hands-on practice.
• String operations: indexing, slicing, replacement, and length measurement.
• Conditional logic: if/elif/else patterns and clear, early-return style validations.
• Data clamping and boundary handling for robust input processing.

Prerequisites

• Python 3.8 or higher

Run the examples

Open a terminal in the project root and run any script directly. Examples:

python main.py
python practice_1/string_exercises.py
python practice_1/conditions_exercises.py
python practice_1/length_validation.py
python practice_1/practice_exercises.py

Example output (excerpt)

Running practice_1/practice_exercises.py shows an age check and password validation, for example:

--- Age Check --- Please enter your age: -5 teenager

--- Password Validation --- Please enter a password: Hello1234 Error: Password must start with 'C' or 'Z'.

Next steps

• Try the scripts and modify inputs to explore how clamping and validations respond.
• Use these exercises as small building blocks to create test helpers or simple validators in larger projects.

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License: See repository root for terms.