Metadata-Version: 2.4
Name: tcollections
Version: 0.1.0
Summary: Typed Collections - A set of collection and grouping types for data pipelines
Author-email: Devin Cornell <your-email@example.com>
License: MIT License
        
        Copyright (c) 2025 Devin J. Cornell
        
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Project-URL: Homepage, https://github.com/devincornell/tcollections
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Keywords: collections,data,pipeline,grouping,functional
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev
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# `tcollections`: Typed Collections

This package offers a set of collection and grouping types that are useful for data pipelines. The collections here offer a style that maintains the clarity and structure of traditional Python data structures while exposing a functional interface inspired by popular data science packages such as `pandas`.

## Installation

```bash
pip install tcollections
```

## Quick Start

```python
from tcollections import tlist, group

# Create a typed list
data = tlist([1, 2, 3, 4, 5])

# Group data
groups = group(data, key=lambda x: x % 2)
```

## Examples

See the examples in `examples/` for detailed usage examples:
- `01_introduction.ipynb` - Basic introduction to tcollections
- `02_data_analysis.ipynb` - Data analysis examples

## Features

- **Typed Collections**: `tlist` and `tset` with enhanced functionality
- **Grouping Operations**: Powerful grouping and aggregation functions
- **Functional Interface**: Clean, chainable operations
- **Data Pipeline Ready**: Designed for data processing workflows



