# -*- coding: utf-8 -*-
# Copyright (c) 2015-2016, Exa Analytics Development Team
# Distributed under the terms of the Apache License 2.0
'''
Exa
#########
This package creates a systematic infrastructure for an ecosystem of packages,
tailored to specific industry or academic displines, for organizing, processing,
analyzing, and visualizing data. It is built with minimal dependencies, leverages
established open-source packages, is itself extensible, and is targeted at both
industry and academic applications.

At a high level, data objects such as series or dataframes (i.e. `pandas`_
like objects) are organized into containers which track relationships between
these objects and provide methods for computation, conversion to other formats,
analysis, and visualization within the `Jupyter notebook`_ environment.

.. _pandas: http://pandas.pydata.org/pandas-docs/stable/index.html
.. _Jupyter notebook: http://jupyter.org/
'''
__exa_version__ = (0, 2, 4)
__version__ = '.'.join((str(v) for v in __exa_version__))


from exa import _config
from exa import log
from exa import test
from exa import relational
from exa import widget
from exa import math
from exa import distributed
from exa import mpl, tex
from exa import error

# User API
from exa.numerical import Series, DataFrame, Field3D, SparseSeries, SparseDataFrame
from exa.container import Container
from exa.editor import Editor
from exa.filetypes import CSV

# -*- coding: utf-8 -*-
# Copyright (c) 2015-2016, Exa Analytics Development Team
# Distributed under the terms of the Apache License 2.0
'''
Exa
#########
This package creates a systematic infrastructure for an ecosystem of packages,
tailored to specific industry or academic displines, for organizing, processing,
analyzing, and visualizing data. It is built with minimal dependencies, leverages
established open-source packages, is itself extensible, and is targeted at both
industry and academic applications.

At a high level, data objects such as series or dataframes (i.e. `pandas`_
like objects) are organized into containers which track relationships between
these objects and provide methods for computation, conversion to other formats,
analysis, and visualization within the `Jupyter notebook`_ environment.

.. _pandas: http://pandas.pydata.org/pandas-docs/stable/index.html
.. _Jupyter notebook: http://jupyter.org/
'''
__exa_version__ = (0, 2, 5)
__version__ = '.'.join((str(v) for v in __exa_version__))


from exa import _config
from exa import log
from exa import test
from exa import relational
from exa import widget
from exa import math
from exa import distributed
from exa import mpl, tex
from exa import error

# User API
from exa.numerical import Series, DataFrame, Field3D, SparseSeries, SparseDataFrame
from exa.container import Container
from exa.editor import Editor
from exa.filetypes import CSV

Patch bump for pypi