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Versatile Python package that brings powerful, C#-like collection and query capabilities to your projects.

Project description

Collective

Collective is a versatile Python package that brings powerful, C#-like collection and query capabilities to your projects. It provides intuitive, fluent interfaces for managing and transforming data collections with ease.

What's New?

The latest version of Collective includes:

  • Modification Tracking: Each modifying operation increments the modification_count attribute for precise operation auditing.
  • Expanded API: Additional methods for data transformations (FlatMap, Distinct, Fuse, etc.).
  • Metadata Enrichment: The Metadata method now includes ModificationCount, LifetimeSeconds, and more insights.

Installation

pip install pz-collective

(Replace this with your actual installation command, e.g., if you’re hosting it on GitHub or PyPI)

Quick Example

from pz_collective import Collection, Queryable

# Create a collection
data = Collection(1, 2, 3, 4, 5)

# Use Collection methods
data.Add(6).Remove(3).Insert(0, 0).Sort().Reverse()
print(data.ToList())  # [6, 5, 4, 2, 1, 0]

# Metadata inspection
print(data.Metadata())  # includes 'ModificationCount' and more!

# Query with Queryable
result = Queryable(data).Where(lambda x: x % 2 == 0).Select(lambda x: x * 10).ToCollection()
print(result.ToList())  # [60, 40, 20, 0]

Features

✅ Add, remove, and manage items easily
✅ Track modifications (modification_count)
✅ Flexible slicing and index-based access
✅ LINQ-like querying with filtering, mapping, sorting
✅ Metadata insights (like type distribution, modification history)
✅ Advanced data manipulations (reduce, zip, flatten, etc.)
✅ Fluent, chainable interface for expressive data handling

License

MIT License


Let me know if you’d like to expand it further with badges, contributing guidelines, or examples of complex usage! 🚀

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