Metadata-Version: 2.1
Name: dataphile
Version: 0.2.1
Summary: Data analytics library and command line data-ops tools.
Home-page: https://dataphile.readthedocs.io
Author: Geoffrey Lentner
Author-email: <glentner@gmail.com>
License: Apache License
Description: Dataphile
        =========
        
        Dataphile is a high-level python package for both data analysis and data processing. It started as
        a central repository of common tasks and capabilities used by the author, but has now evolved into
        something others might find useful. See [components](#Components) below.
        
        
        [![GitHub License](http://img.shields.io/badge/license-Apache-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0)
        [![PyPI Version](https://img.shields.io/pypi/v/dataphile.svg)](https://pypi.org/project/dataphile/)
        [![Docs Latest](https://readthedocs.org/projects/dataphile/badge/?version=latest)](https://dataphile.readthedocs.io)
        
        ---
        
        <!-- Animated GIF of AutoGUI -->
        <img src="https://lentner.io/images/auto_gui_interactive.gif" width="80%"
        style="display:block;margin: 0 auto;">
        
        **Figure**: Demonstration of Dataphile's `AutoGUI` feature.
        
        Installation
        ------------
        
        To install Dataphile for general purposes use Pip:
        
        ```
        pip install dataphile
        ```
        
        If you are using Anaconda, install using the above call to pip _from inside your environment_.
        There is not as of yet a separate conda package.
        
        Documentation
        -------------
        
        Documentation will be available at [dataphile.readthedocs.io](https://dataphile.readthedocs.io).
        Currently, development of additional features is a priority, but this is a great place for
        contributing to the project.
        
        Contributions
        -------------
        
        Contributions are welcome  in the form of  suggestions for additional features,  pull requests with
        new features or  bug fixes, etc. If you find  bugs or have questions, open an  _Issue_ here. If and
        when the project grows, a  code of conduct will be provided along side  a more comprehensive set of
        guidelines for contributing; until then, just be nice.
        
        Road Map
        --------
        
        - **additional command line tools**<br>
        	Many additional  command line tools  are planned for future  releases including tools  that expose
        	database queries and filters.  Generally, just a massive extension of  the UNIX philosophy whereby
        	we can compose several functions together with pipes to make unique workflows.
        
        - **data acquisition**<br>
        	One of  the motivations for this  package was to  provide an easy-to-use, high-level  interface to
        	collecting scientific  data from an externel  device (e.g., over  USB). This, along side  a simple
        	live  data visualization  feature would  go a  long  way for  high school  and university  student
        	laboratory courses to both aquire and analyze  their data using all open-source tools right inside
        	of a [Jupyter Notebook](https://jupyter.org).
        
        - **documentation and package management**<br>
        	A quickstart guide along with full documentation of all components needs to be built using Sphinx.
        
        
Keywords: data science tools analytics optimization
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/markdown
