huntela 0.0.12

Find what you're looking for in a flash with Huntela.

Huntela

Huntela makes searching in Python very simple.

>>> import huntela
>>> huntela.simple_search(term='app', items=['app', 'apple', 'hello', 'world'])
[
    {'confidence': 1, 'index': 0, 'value': 'app'},
    {'confidence': 0.6, 'index': 1, 'value': 'apple'}
]
>>> huntela.binary_search(term='a', items=['a', 'b', 'c'])
{'confidence': 1, 'index': 0, 'value': 'a'}
>>> huntela.search_for_least_frequent_items(size=1, ['a', 'b', 'a', 'e', 'a', 'e'])
[{'confidence': 1, 'index': [1], 'value': 'b'}]
>>> huntela.search_for_most_frequent_items(size=2, ['a', 'b', 'a', 'e', 'a', 'e'])
[{'confidence': 1, 'value': 'a', 'index': [0, 2, 4]}, {'confidence': 1, 'value': 'e', 'index': [3, 5]}]

With a variety of algorithms to choose from, finding what you're looking for has never been easier.

From binary search to linear search and more, Huntela has everything you need to quickly and efficiently search through your data. With a simple, intuitive interface and lightning-fast performance, Huntela is the go-to package for anyone who needs to search through data.

Whether you're a data scientist, engineer, or developer, Huntela will help you find what you need.

Installation

Huntela officially supports Python 3.9 upwards.

Huntela is available on PyPi and it can be installed using pip

python -m pip install huntela

Building Release

1. Go to the Python project's root directory contrib/python.
2. Delete the dist directory if it exists, to clean up all existing builds.
3. Open huntela/setup.py and bump up the VERSION.
4. Run the setup script to generate the package files python huntela/setup.py sdist bdist_wheel.
5. Finally, upload the generated bits to PyPI twine upload dist/*.