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Merge pull request #193 from emiliom/bumpversion
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Update CHANGES and fix rst error in README
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emiliom authored Aug 20, 2020
2 parents 4a0c71b + ba8fca7 commit 6c7d72f
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23 changes: 23 additions & 0 deletions CHANGES
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Changelog
---------

**0.8.6 (release 2020-08-20)**

- The largest change was to the ReadTheDocs documentation system. It had not
been updated in a long time, and the auto-update CI was broken. Many sections
were updated, the auto-build was fixed (now using a .readthedocs.yml file),
a separate top-level section for "readers" (often referred to as "plugins") was
implemented, and many docstrings were updated and enhanced to ensure the
formatting works well. Additional documentation was added for CUAHSI readers.
- Bug fixes and small enhancements for multiple readers:
cpc, cuahsi.his_central, cuahsi.wof, usgs.eddn, usgs.nwis
- cuahsi.wof and cuahsi.his_central: added optional `user_cache` argument to
service requests, to direct WSDL caching files to user app directory.
Avoids problems with the user not having permission to write cache files
to the system tmp space (the default)
- usgs.eddn: generalized twdb_fts parser to accept batter_voltage and
water_level data in any order
- usgs.nwis:
- `get_site_data` can now accept a list of parameter codes as an argument
instead of a string of comma separated values
- enabled retrieval of iv data prior to 2007
- Fixed or updated several tests


**0.8.5 (release 2019-03-22)**

- Bug fixes and some small enhancements for multiple plugins:
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6 changes: 3 additions & 3 deletions README.rst
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Expand Up @@ -25,8 +25,8 @@ Features
--------

- retrieves and parses datasets from the web
- returns simple python data structures that can be easily pulled into `more
sophisticated tools`_ for analysis
- returns simple python data structures that can be easily pulled into more
sophisticated tools such as Pandas for analysis
- caches datasets locally and harvests updates as needed


Expand Down Expand Up @@ -60,7 +60,7 @@ way to get things up and running is to use a scientific python distribution that
will install everything together. A full list is available on the `scipy`_
website but `Anaconda`_ / `Miniconda`_ is recommended as it is the easiest to set up.

If you are using Anaconda/Miniconda then you can install ulmo from the `conda_forge`_
If you are using Anaconda/Miniconda then you can install ulmo from the `conda-forge`_
channel with the following command:

conda install -c conda-forge ulmo
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