Metadata-Version: 1.1
Name: labpack
Version: 0.14
Summary: UNKNOWN
Home-page: https://github.com/collectiveacuity/labPack
Author: rcj1492
Author-email: support@collectiveacuity.com
License: MIT
Description-Content-Type: UNKNOWN
Description: .. image:: https://img.shields.io/pypi/v/labpack.svg
            :target: https://pypi.python.org/pypi/labpack
        .. image:: https://img.shields.io/pypi/l/labpack.svg
            :target: https://pypi.python.org/pypi/labpack
        
        =======
        labPack
        =======
        *A Collection of Methods for Data Collection & Processing*
        
        :Downloads: http://pypi.python.org/pypi/labPack
        :Source: https://github.com/collectiveacuity/labPack
        :Documentation: https://collectiveacuity.github.io/labPack/
        
        ============
        Introduction
        ============
        Lab Pack is designed to make the process of retrieving, managing and processing data more uniform across a variety of different sources and structures. The classes and methods in this module aggregate and curate python resources and online APIs to provide a set of best practices for handling data across laboratory projects.
        
        ============
        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 contains a variety of classes, clients and packages for use in laboratory projects. For example to store records in an indexed file store on the local device, you can use the following methods:
        
        Create an unique ID for records::
        
            from labpack.records.id import labID
        
            id = labID()
            url_safe_id_string = id.id48
            id_datetime = id.epoch
            id_mac_address = id.mac
        
        Save record data in local user data::
        
            from labpack.storage.appdata import appdataClient
        
            msg_key = '%s/%s.yaml' % (id_mac_address, id_datetime)
            msg_details = { 'dt': id_datetime, 'mac': id_mac_address, 'msg': 'Text me back soon' }
            msg_client = appdataClient('Outgoing', 'My Team', 'My App')
            mgs_client.create(msg_key, msg_details)
        
        
        Further Reading
        ---------------
        For more details about how to use labPack, refer to the
        `Reference Documentation on GitHub
        <https://collectiveacuity.github.io/labPack>`_
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
