Metadata-Version: 2.4
Name: bigdata-sampler-toolkit
Version: 0.1.2
Summary: A Python package for sampling large datasets like CSV, JSON, Parquet, ORC, and Avro
Author-email: Ragul A <Ragulcom33@gmail.com>
License-Expression: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=2.0.0
Requires-Dist: pyarrow>=15.0.0
Requires-Dist: fastavro>=1.9.0
Dynamic: license-file

# bigdata-sampler

A lightweight Python package for **sampling large datasets** efficiently.  
Supports multiple data formats like **CSV**, **JSON**, **Parquet**, **ORC**, and **Avro**.

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## Features
- 📂 Supports **multiple file formats**: CSV, JSON, Parquet, ORC, Avro  
- ⚡ Fast and memory-efficient sampling  
- 🔧 Simple, beginner-friendly API  
- 🧪 Built-in tests and examples for quick start  

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## Installation

You can install directly from PyPI (after you publish):

```bash
pip install bigdata-sampler
