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Dec 31, 2017
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DOC: Update some outdated information #19015

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10 changes: 3 additions & 7 deletions README.md
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Expand Up @@ -160,10 +160,9 @@ pip install pandas
```

## Dependencies
- [NumPy](http://www.numpy.org): 1.7.0 or higher
- [python-dateutil](https://labix.org/python-dateutil): 1.5 or higher
- [pytz](https://pythonhosted.org/pytz)
- Needed for time zone support with ``pandas.date_range``
- [NumPy](http://www.numpy.org): 1.9.0 or higher
- [python-dateutil](https://labix.org/python-dateutil): 2.5.0 or higher
- [pytz](https://pythonhosted.org/pytz): 2011k or higher

See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies)
for recommended and optional dependencies.
Expand Down Expand Up @@ -205,9 +204,6 @@ See the full instructions for [installing from source](https://pandas.pydata.org
## Documentation
The official documentation is hosted on PyData.org: https://pandas.pydata.org/pandas-docs/stable

The Sphinx documentation should provide a good starting point for learning how
to use the library. Expect the docs to continue to expand as time goes on.

## Background
Work on ``pandas`` started at AQR (a quantitative hedge fund) in 2008 and
has been under active development since then.
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4 changes: 0 additions & 4 deletions setup.py
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Expand Up @@ -198,10 +198,6 @@ def build_extensions(self):
munging and cleaning data, analyzing / modeling it, then organizing the results
of the analysis into a form suitable for plotting or tabular display. pandas is
the ideal tool for all of these tasks.

Notes
-----
Windows binaries built against NumPy 1.8.1
"""

DISTNAME = 'pandas'
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