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Python Data Fundamentals

Overview

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.


Topics Covered

  • 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

Repository Structure

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

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Python core programming concepts

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