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Getting Started with Spark-Expectations

This guide will help you set up your environment, install the library, and understand the basic requirements for using Spark-Expectations in your data workflows.

Prerequisites

Python

  • Supported versions: 3.9, 3.10, 3.11, 3.12 (recommended: latest 3.12.x)

Java

  • Supported versions: 8, 11, 17

Installation

You can install Spark-Expectations directly from PyPI:

pip install -U spark-expectations

Or add it to your requirements.txt or dependency manager (e.g., poetry, hatch, uv).

Ready to get started? Head to the Quickstart for setting up hello world SparkExpectation job!