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Welcome to the Pagify documentation! This package provides an easy-to-use solution for handling pagination in Python applications, supporting a wide range of projects from basic scripts to complex frameworks.
The Pagify package is a versatile and efficient tool for implementing pagination in Python applications. It supports multiple pagination types to cater to different needs, making it suitable for use with plain Python, Django, Flask, or any other Python-based frameworks.
To install the Pagify package, run the following command:
Install Pagify from PyPI using pip:
pip install pagify
For complete guides, detailed examples, and advanced use cases, refer to the usage documentation. This section covers everything from basic usage to customization for different pagination strategies.
Here's a brief overview to get you started quickly:
pagify.adapters
.Example:
from pagify.adapters.paginate import paginate_with_page_number
data = [{'id': i} for i in range(1, 101)] # Sample dataset
result = paginate_with_page_number(data, page=2, page_size=10)
print(result)
For a detailed breakdown of classes, methods, and available parameters, please refer to the API reference. This will guide you through the full potential of Pagify and provide insights into all features.
We welcome contributions to Pagify! If you'd like to contribute, follow these steps:
For detailed contribution guidelines, see the CONTRIBUTING.md
file in the repository.
This project is licensed under the MIT License. For more information, see the LICENSE file. This permits free use, modification, and distribution while maintaining the package's open-source nature.
FAQs
A lightweight and flexible pagination package for Python applications.
We found that pagify demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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