semvec/pypi-packages huggingface dataset:
mikud 0.0.3
Get mikud (zip code in israel) by address.
License: MIT

.. image:: https://github.com/david-lev/mikud/blob/master/docs/_static/dark_logo.png?raw=true
  :width: 95
  :alt: Alternative text
.. end-logo

`mikud <https://github.com/david-lev/mikud>`_: Search for Israeli zip code numbers
##################################################################################################

.. image:: https://img.shields.io/pypi/dm/mikud?style=flat-square
    :alt: PyPI Downloads
    :target: https://pypi.org/project/mikud/

.. image:: https://www.codefactor.io/repository/github/david-lev/mikud/badge/master
   :target: https://www.codefactor.io/repository/github/david-lev/mikud/overview/master
   :alt: CodeFactor

.. image:: https://readthedocs.org/projects/mikud/badge/?version=latest&style=flat-square
   :target: https://mikud.readthedocs.io
   :alt: Docs


________________________

☎️ mikud is a Python3 library to search israel's zip codes (mikud) by their addresses.

📖 For a **complete documentation** of available functions, see the `Reference <https://mikud.readthedocs.io/en/latest/#id1>`_.

>>️ *This tool based on israelpost website -* `Click here <https://israelpost.co.il/%D7%A9%D7%99%D7%A8%D7%95%D7%AA%D7%99%D7%9D/%D7%90%D7%99%D7%AA%D7%95%D7%A8-%D7%9E%D7%99%D7%A7%D7%95%D7%93/>`_.


🎛 Installation
--------------
.. installation

- **Install using pip3:**

.. code-block:: bash

    pip3 install -U mikud

- **Install from source:**

.. code-block:: bash

    git clone https://github.com/david-lev/mikud.git
    cd mikud && python3 setup.py install

.. end-installation

🎉 **Features**
---------------

* Search zip code by address
* Search address by zip code
* Get cities
* Get streets

👨‍💻 **Usage**
----------------
.. code-block:: python

    from mikud import Mikud

    mikud = Mikud()
    mikud_res = mikud.search_mikud(city_name="ירושלים",
                                   street_name="כנפי נשרים",
                                   house_number="20")
    print(mikud_res.zip)
    #> 9546432

    addr = mikud.search_address(zip_code=9546432)
    print(addr.city_name, addr.street_name, addr.house_number)
    #> ירושלים כנפי נשרים 20


💾 **Requirements**
--------------------

- Python 3.6 or higher - https://www.python.org

📖 **Setup and Usage**
-----------------------

See the `Documentation <https://mikud.readthedocs.io/>`_ for detailed instructions

⛔ **Disclaimer**
------------------

**This application is intended for educational purposes only. Any use in professional manner or to harm anyone or any organization doesn't relate to me and can be considered as illegal.**
ace-sklearn-crfsuite 0.4.0
Fork of sklearn-crfsuite to provides interface simlar to modern scikit-learn
License: MIT
Requires Python: >=3.10
Keywords: sklearn,crf,crfsuite,crf++

=========================================
Scikit-learn wrapper for Python CRF-Suite 
=========================================

General Information
-------------------

ace-sklearn-crfsuite is a fork of `sklearn-crfsuite <https://github.com/TeamHG-Memex/sklearn-crfsuite>`_, adapted to fit modern versions of scikit-learn.

This version went for the strict minimum, and only support pyhton 3.10.

License is MIT.

How to install
--------------

The package is available as a *pip* package.


    pip install ace-sklearn-srfsuite


How to use
----------

We provide a `tutorial <https://github.com/ace-design/ace-sklearn-crfsuite/blob/master/tutorial.md>`_ to demonstrate how the package supports the integration of sklearn recent improvements to the existing code base. 

This tutorial is heavily inspired by the original one available in the `sklearn-crfsuite` documentation.


How to contribute
-----------------

The project use *pipenv* to allow easy external contributions. Using the `--dev` option install the development tools (tests, build and deploy)

    pipenv install --dev 


One can start an environment will all dependencies satisfied using the following command:

    pipenv shell

Inside this environment, to run the tests:

    python -m pytest tests/test_*.py

To check code coverage, one need to fiurst run the tests with coveragem, and then ask for a report.

    coverage run -m pytest tests/test_*.py

    coverage report 


To build the code as a deployable package:

    python -m build
    
To upload the freshly built packages to PyPi:

    twine upload -r testpypi dist/*

Remove `-r testpypi` if the deployment went well, to publish to the real PyPi repository