semvec/pypi-packages huggingface dataset:
postalcodes-mexico 0.4.0
Determines large parts of a Mexican postal address from its postal code (C.P.).
License: MIT license
Keywords: postalcodes_mexico

==================
Postalcodes Mexico
==================


.. image:: https://img.shields.io/pypi/v/postalcodes_mexico.svg
        :target: https://pypi.python.org/pypi/postalcodes_mexico

.. image:: https://img.shields.io/travis/FlowFX/postalcodes_mexico.svg
        :target: https://travis-ci.org/flowfx/postalcodes_mexico

.. image:: https://readthedocs.org/projects/postalcodes-mexico/badge/?version=latest
        :target: https://postalcodes-mexico.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/FlowFX/postalcodes_mexico/shield.svg
     :target: https://pyup.io/repos/github/FlowFX/postalcodes_mexico/
     :alt: Updates

.. image:: https://badge.waffle.io/FlowFX/postalcodes_mexico.png?columns=all 
     :target: https://waffle.io/FlowFX/postalcodes_mexico?utm_source=badge
     :alt: 'Waffle.io - Columns and their card count'




Determines large parts of a Mexican postal address from its postal code (C.P.).


* Free software: MIT license
* Documentation: https://postalcodes-mexico.readthedocs.io.


Features
--------

Postalcods mexico provides a function `places` that returns a list of named tuples with all places in Mexico that share the given postal code.

Reference
---------
The data used in this package comes from the official website of the `Mexican Postal Service`_ (Correos Mexico). On the download page of the `catalogue of postal codes`_ it is stated that this data is not to be commercialized:

    El Catálogo Nacional de Códigos Postales, es elaborado por el Servicio Postal Mexicano y se proporciona en forma gratuita, no estando permitida su comercialización, total o parcial.

http://www.correosdemexico.gob.mx/lservicios/servicios/CodigoPostal_Exportar.aspx

.. _Mexican Postal Service: http://www.correosdemexico.com.mx/Paginas/Inicio.aspx
.. _catalogue of postal codes: http://www.correosdemexico.gob.mx/lservicios/servicios/CodigoPostal_Exportar.aspx

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.3.0 (2018-03-16)
------------------

* Add command line interface

0.2.1 (2018-03-16)
------------------

* Re-package everything following the 2Scoops course `Creating and Distributing Python Packages`_.

.. _Creating and Distributing Python Packages: https://courses.twoscoopspress.com/courses/take/creating-and-distributing-python-packages/

0.2.0 (2017-04-15)
------------------
* 4-digit codes return places if exist.

0.1.5 (2017-04-06)
------------------
* First release on PyPI.
autocontrol 1.0.0
...
License: MIT license

========
Overview
========





* Free software: MIT license

Activate virtual environment
==================
Together with the autoCorrection package you will get

        'tensorflow',
        'toolz',
        'keras',
        'numpy',
        'kopt',
        'scipy',
        'h5py',
        'sklearn',
        'dask',
        'pandas',
        'statsmodels'

packages automatically installed, if not present.

If you don't wannt to install these packages globally, please use virtual environment.

If you have problems with virtualenv, installing using conda may help:

(Installation of conda: https://conda.io/docs/user-guide/install/index.html)

Make sure you are using python 3.

    conda create -n mypyth3 python=3.6

    source activate mypyth3

    conda install virtualenv

activate new environment in active python 3 environment:

    virtualenv env-with-autoCorrection

    source env-with-autoCorrection/bin/activate

Check if you are still using python 3:

    python --version


Package Installation
============

::

    pip install autocontrol


Deactivate virtual environment
============

::

    deactivate

Usage
============

::

    #in python:
    python
    import autocontrol
    import numpy as np
    counts = np.random.negative_binomial(n = 20, p=0.2, size = (10,8))
    sf = np.ones((10,8))
    corrector = autocontrol.correctors.AECorrector()
    c = corrector.correct(counts = counts, size_factors = sf)

    #in R:
    library(reticulate)
    autoCorrection <- import("autocontrol")
    corrected <- autoCorrection$correctors$AECorrector(model_name, model_directory)$correct(COUNTS, SIZE_FACTORS, only_predict=FALSE)

Documentation
=============

https://i12g-gagneurweb.in.tum.de/public/docs/autocontrol/




Changelog
=========

0.0.1 (2017-11-01)
------------------

* First release on PyPI.
imports 0.1.4
A helper tool to identify the unused installed packages that are listed on requirements.txt
License: MIT license
Keywords: imports

=========
 Imports
=========

.. image:: https://img.shields.io/pypi/v/imports.svg
        :target: https://pypi.python.org/pypi/imports

.. image:: https://img.shields.io/travis/joaopcanario/imports.svg
        :target: https://travis-ci.org/joaopcanario/imports

.. image:: https://readthedocs.org/projects/imports/badge/?version=latest
        :target: https://imports.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status


A helper tool to identify unused installed packages

* Free software: MIT license
* Documentation: https://imports.readthedocs.io.


Features
--------


* List all installed packages added on the project requirements that are not used


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2018-03-20)
------------------

* First release on PyPI.


0.1.2 (2018-03-22)
------------------

* Fix minor issues.
* Update documentation
* Minor code improvements

0.1.4 (2018-03-23)
------------------

* Improve tests
* Fix minor issues