Metadata-Version: 2.4
Name: bigdata-helper
Version: 0.1.1
Summary: A Python library containing Big Data practical codes for quick access
Author: Satyam Kale
License: MIT
Project-URL: Homepage, https://pypi.org/project/bigdata-helper/
Keywords: big data,exam,codes,snippets,education
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# bigdata-helper

**Version:** 0.1.0  
**Author:** Satyam Kale

A lightweight library that stores ready-to-use Big Data practical codes and lets you retrieve them instantly as strings.

> ⚠️ This package is intended for learning, practice, and revision. Use responsibly and follow your institution's academic policies.

## Install

```bash
pip install bigdata-helper
```

## Quick Start

```python
from bigdata_helper import get_code, list_codes

print(list_codes())
print(get_code("mini"))
print(get_code("forestfire"))
```

## Available Codes

- `mini` — Multiple regressors benchmark on a synthetic Graduate Admissions dataset (prints model performance and a sample prediction).
- `forestfire` — MapReduce-like analysis pipeline for forest fire dataset with SQLite, correlation, and monthly summaries.

## Add More

You can contribute more codes by adding functions to `bigdata_helper/codes.py` and mapping them in `get_code_map()`.
