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Updates for version 0.76
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wade committed Apr 4, 2019
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2 changes: 1 addition & 1 deletion README.md
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Tools for use in comparison studies, specifically for use in the field of hydrology

- **Documentation:** https://BYU-Hydroinformatics.github.io/Hydrostats/
- **Documentation:** https://readthedocs.org/projects/hydrostats/
- **Source:** https://github.com/BYU-Hydroinformatics/Hydrostats
- **Bug reports:** https://github.com/BYU-Hydroinformatics/Hydrostats/issues

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5 changes: 4 additions & 1 deletion docs/change_log.rst
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Release Notes
=============


This is the list of changes to Hydrostats between each release. For full details, see the commit logs at
https://github.com/BYU-Hydroinformatics/Hydrostats.

Version 0.76
^^^^^^^^^^^^
- Moved the documentation to new location at https://hydrostats.readthedocs.io/

Version 0.75
^^^^^^^^^^^^
- Minor bug fixes and changes
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2 changes: 1 addition & 1 deletion docs/conf.py
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# The short X.Y version
version = ''
# The full version, including alpha/beta/rc tags
release = '0.75'
release = '0.76'

# -- General configuration ---------------------------------------------------

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6 changes: 3 additions & 3 deletions docs/index.rst
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Hydrostats Documentation
==========================
Hydrostats is a library of tools and functions for users working with time series data, with some tools specific to the
field of hydrology (hence **Hydro**\stats). All of the tools contained in Hydrostats are based on a few different python
libraries including numpy, scipy, pandas, matplotlib, and numba. It is meant to provide a high-level interface for users
to be able to perform common tasks regarding time series analysis.
field of hydrology (hence **Hydro**\stats). All of the tools contained in Hydrostats are built using a few different
python libraries including numpy, scipy, pandas, matplotlib, and numba. It is meant to provide a high-level interface
for users to be able to perform common tasks regarding time series analysis.

Hydrostats contains tools for for preprocessing data, visualizing data, calculating error metrics on observed and
predicted time series, and forecast validation. It contains over 70 error metrics, with many metrics specific to the field of
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2 changes: 1 addition & 1 deletion setup.py
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setup(
name='hydrostats',
packages=['hydrostats'],
version='0.75',
version='0.76',
description='Tools for use in comparison studies, specifically for use in the field '
'of hydrology',
long_description=README,
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