Metadata-Version: 2.1
Name: lingpy
Version: 2.6.7
Summary: Python library for quantitative tasks in historical linguistics
Home-page: http://lingpy.org
Author: Johann-Mattis List and Simon Greenhill and Robert Forkel
Author-email: info@lingpy.org
License: gpl-3.0
Description: # LingPy: A Python Library for Automatic Tasks in Historical Linguistics
        
        This repository contains the python package `lingpy` which can be used for various task in computational historical linguistics.
        
        [![Build Status](https://github.com/lingpy/lingpy/workflows/tests/badge.svg)](https://github.com/lingpy/lingpy/actions?query=workflow%3Atests)
        [![codecov.io](http://codecov.io/github/lingpy/lingpy/coverage.svg?branch=master)](http://codecov.io/github/lingpy/lingpy?branch=master)
        [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.597082.svg)](https://doi.org/10.5281/zenodo.597082)
        [![PyPI version](https://badge.fury.io/py/lingpy.png)](https://badge.fury.io/py/lingpy)
        [![Documentation](https://bade.fury.io/py/lingpy.png)](https://lingpy.github.io)
        
        
        Authors (Version 2.6.7): Johann-Mattis List and Robert Forkel
        
        Collaborators: 
        Christoph Rzymski, Simon J. Greenhill, Steven Moran, Peter Bouda, Johannes Dellert, Taraka Rama, Tiago Tresoldi, Gereon Kaiping, and Frank Nagel.
         
        LingPy is a Python Library for Historical Linguistics. It is being developed for Python 2.7 and Python 3.x 
        using [a single codebase](https://docs.python.org/3/howto/pyporting.html).
        
        * All source code is available at: [https://github.com/lingpy/lingpy](https://github.com/lingpy/lingpy).
        * Documentation can be found at: [http://lingpy.org](http://lingpy.org).
        * For a list of papers in which LingPy was applied, see [here](https://github.com/lingpy/lingpy/blob/master/PAPERS.md).
        
        ## Quick Installation
        
        For our latest stable version, you can simply use pip or easy_install for installation:
        ```bash
        $ pip install lingpy
        ```
        or 
        ```bash
        $ pip install lingpy
        ```
        Depending on which easy_install or pip version you use, either the Python2 or the Python3 version of LingPy will be installed.
        
        If you want to install LingPy the current GitHub version on your system, open a terminal and type in the following:
        ```bash
        $ git clone https://github.com/lingpy/lingpy/
        $ cd lingpy
        $ python setup.py install
        ```
        
        If the last command above returns you some error regarding user permissions (usually "Errno 13"), you can install
        LingPy in your home Python setup:
        ```
        $ python setup.py install --user
        ```
        
        In order to use the library, start an interactive python session and import LingPy as follows:
        ```python
        >>> from lingpy import *
        ```
        
        To install LingPy to hack on it, fork the repository on GitHub, open a terminal and type:
        ```bash
        $ git clone https://github.com/<your-github-user>/lingpy/
        $ cd lingpy
        $ python setup.py develop
        ```
        This will install LingPy in ["development mode"](http://pythonhosted.org//setuptools/setuptools.html#development-mode),
        i.e. you will be able edit the sources in the cloned repository and import the altered code just as the regular python package.
        
        
        
Keywords: historical linguistics,sequence alignment,computational linguistics,dialectology,cognate detection
Platform: unix
Platform: linux
Platform: windows
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Text Processing :: Linguistic
Description-Content-Type: text/markdown
Provides-Extra: borrowing
Provides-Extra: cluster
Provides-Extra: test
Provides-Extra: dev
