Description:
bunches 0.1.3
bunches
Version
Status
Documentation
Tools
Compatibility
Stats
What is bunches?
[TODO: Brief summary of the project]
Why use bunches?
Mappings
Dictionary: drop-in replacement for a python dict with an add method for a default mechanism of adding data, a delete method for a default mechanism of deleting data, and a subset method for returning a subset of the key/value pairs in a new Dictionary.
Catalog: wildcard-accepting dict which is intended for storing different options and strategies. It also returns lists of matches if a list of keys is provided.
Library: a dictionary that automatically supplies key names for stored items. The 'overwrite' argument determines if a unique key should always be created or whether entries may be overwritten.
Sequences
Listing: drop-in replacement for a python list with an add method for a default mechanism of adding data, a delete method for a default mechanism of deleting data, and a subset method for returning a subset of the key/value pairs in a new Listing.
DictList: iterable with both dict and list interfaces. Stored items must be hashable or have a name attribute.
Getting started
Requirements
[TODO: List any OS or other restrictions and pre-installation dependencies]
Installation
To install bunches, use pip:
pip install bunches
Usage
[TODO: Describe common use cases, with possible example(s)]
Contributing
Contributors are always welcome. Feel free to grab an issue to work on or make a suggested improvement. If you wish to contribute, please read the Contribution Guide and Code of Conduct.
Similar Projects
[TODO: If they exist, it is always nice to acknowledge other similar efforts]
Acknowledgments
I'd also like to extend a special thanks to pawamoy whose excellent pdm and mkdocs extensions and utlities are incorporated into snickerdoodle. Some of the scripts, documentation, configuration files, and other CI code were all adapted from pawamoy's repositories.
I would also like to thank the University of Kansas School of Law for tolerating and supporting this law professor's coding efforts, an endeavor which is well outside the typical scholarly activities in the discipline.
License
Use of this repository is authorized under the Apache Software License 2.0.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
