semvec/pypi-packages huggingface dataset:
exonware-xdata 0.0.1
Advanced data manipulation and processing library
License: MIT
Requires Python: >=3.8
Keywords: analysis, data, exonware, manipulation, processing, transformation

# 🚀 **xdata: Advanced Data Manipulation Library**

**Company:** eXonware.com  
**Author:** Eng. Muhammad AlShehri  
**Email:** connect@exonware.com  
**Version:** 0.0.1  

## 🎯 **What is xdata?**

xdata is a powerful Python library for advanced data manipulation and processing. It provides a comprehensive set of tools for data transformation, analysis, and management, making complex data operations simple and efficient.

## ⚡ **Quick Start**

### **Installation**
```bash
pip install exonware-xdata
```

### **Basic Usage**
```python
from exonware.xdata import *
# Or use convenience import:
# import xdata

# Your data manipulation code here
```

## 🎯 **Perfect For:**

- **📊 Data Analysis** - Advanced data processing and analysis operations
- **🔄 Data Transformation** - Complex data transformation pipelines
- **📈 Data Processing** - High-performance data manipulation tasks
- **🧹 Data Cleaning** - Data validation and cleaning operations
- **📋 Data Management** - Comprehensive data management solutions

## 🚀 **Key Features**

✅ **Advanced data manipulation** tools and utilities  
✅ **High-performance processing** for large datasets  
✅ **Flexible transformation** pipelines  
✅ **Data validation** and cleaning capabilities  
✅ **Memory efficient** operations  
✅ **Easy integration** with pandas, numpy, and other data tools  

## 📚 **Documentation**

- **[API Documentation](docs/)** - Complete reference and examples
- **[Examples](examples/)** - Practical usage examples
- **[Tests](tests/)** - Test suites and usage patterns

## 🔧 **Development**

```bash
# Install in development mode
pip install -e .

# Run tests
python tests/runner.py

# Run specific test types
python tests/runner.py --core
python tests/runner.py --unit
python tests/runner.py --integration
```

## 🤝 **Contributing**

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Run the test suite
6. Submit a pull request

## 📄 **License**

MIT License - see LICENSE file for details.

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*Built with ❤️ by eXonware.com - Making data manipulation effortless*