Getting Started

This guide will help you set up and use the data processing API in your applications. The API provides endpoints for data ingestion, transformation, and retrieval with comprehensive error handling and rate limiting.

Installation

Install the package using pip. The package requires Python 3.10 or higher and has minimal dependencies for easy integration into existing projects.

pip install data-processor

Quick Start

Here is a minimal example to get started with the data processing API and begin processing your first dataset.

from data_processor import Client

client = Client(api_key="your-key")
result = client.process(data="Hello, world!")
print(result.output)

Configuration

The client supports several configuration options. You can customize the behavior by passing additional parameters to the Client constructor or by using environment variables for sensitive configuration values.

client = Client(
    api_key="your-key",
    timeout=30,
    max_retries=3,
    base_url="https://api.example.com"
)

Error Handling

The API uses standard HTTP status codes and returns structured error responses. All errors include a machine-readable error code, a human-readable message, and optionally a detailed description of the issue.