This repository contains small, focused Python examples that demonstrate core programming concepts commonly used in analytics workflows.
The examples emphasize:
- clarity and readability
- correct handling of common data issues
- simple functions and clean control flow
All examples are self-contained and use synthetic inputs.
- Loops and iteration (for-loops, enumerate, range)
- String cleaning and transformation
- Input parsing and validation
- Collections (lists, tuples, nested lists) and unpacking
- Practical "mini project" combining multiple concepts
python-data-fundamentals/
├── 01_loops_and_iteration.py
├── 02_string_cleaning.py
├── 03_input_parsing.py
├── 04_collections_and_unpacking.py
└── mini_project_clean_transform.py