🛠️ Python Data Utils

Small, focused, well-tested Python utilities for everyday data work. Each tool solves one real problem, has tests, and can be used standalone.

📦 Tools

Tool	What it does	Status
csv_cleaner	Detects and fixes common CSV issues: encoding, delimiters, empty rows, whitespace	🚧 in progress
json_validator	Validates JSON files against a schema with human-readable error reports	📋 planned
excel_converter	Batch-converts Excel files to clean CSV/Parquet	📋 planned
api_client	Reusable REST client with retries, pagination and rate-limit handling	📋 planned

🚀 Installation

git clone https://github.com/PaivaJudson/python-data-utils.git
cd python-data-utils
pip install -r requirements.txt

🧪 Running tests

pytest

💡 Philosophy

• One tool = one problem = one folder
• Every tool ships with tests and a usage example
• Readable code beats clever code

👨🏾‍💻 Author

Judson Paiva — LinkedIn · GitHub