Metadata-Version: 1.1
Name: labpack
Version: 0.2
Summary: A Collection of Methods for Data Collection & Processing
Home-page: UNKNOWN
Author: rcj1492
Author-email: support@collectiveacuity.com
License: MIT
Description: 
        =======
        labPack
        =======
        *A Collection of Methods for Data Collection & Processing*
        
        :Downloads: http://pypi.python.org/pypi/labPack
        :Source: https://github.com/collectiveacuity/labPack
        
        Top-Level Classes
        -----------------
        * **labID**: A class of methods for uniquely identifying objects
        * **labDT**: A class of methods for transforming datetime data
        * **labRandom**: A class of methods for generating random data
        
        Features
        --------
        - Unique IDs which do not conflict nor leak record origin
        - Transformations of datetime data between popular formats
        - Randomization using best current algorithms
        
        ============
        Installation
        ============
        From PyPi::
        
            $ pip install labpack
        
        From GitHub::
        
            $ git clone https://github.com/collectiveacuity/labPack
            $ cd labPack
            $ python setup.py install
        
        Getting Started
        ---------------
        This module is designed to make the process of retrieving, managing and processing data more uniform across a variety of different sources and structures. A number of module methods are implementations of built-in python packages and standard python imports which have been optimized for data management and compensate for the messy state of real data. The methods in this module aggregate and curate python resources and online APIs to provide a set of best practices for handling data.
        
        Create an unique ID for records::
        
            from labpack.records import labID
        
            id = labID()
            url_safe_id_string = id.id48
            id_datetime = id.epoch
        
        For more details about how to use labPack, refer to the
        `Reference Documentation on GitHub
        <https://github.com/collectiveacuity/labPack/blob/master/REFERENCE.rst>`_
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
