diff --git a/ci/cron/go_doc.sh b/ci/cron/go_doc.sh
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+#!/bin/bash
+
+# This is a one-command cron job for setting up
+# a virtualenv-based, linux-based, py2-based environment
+# for building the Pandas documentation.
+#
+# The first run will install all required deps from pypi
+# into the venv including monsters like scipy.
+# You may want to set it up yourself to speed up the
+# process.
+#
+# This is meant to be run as a cron job under a dedicated
+# user account whose HOME directory contains this script.
+# a CI directory will be created under it and all files
+# stored within it.
+#
+# The hardcoded dep versions will gradually become obsolete
+# You may need to tweak them
+#
+# @y-p, Jan/2014
+
+# disto latex is sometimes finicky. Optionall use
+# a local texlive install
+export PATH=/mnt/debian/texlive/2013/bin/x86_64-linux:$PATH
+
+# Having ccache will speed things up
+export PATH=/usr/lib64/ccache/:$PATH
+
+# limit disk usage
+ccache -M 200M
+
+BASEDIR="$HOME/CI"
+REPO_URL="https://github.com/pydata/pandas"
+REPO_LOC="$BASEDIR/pandas"
+
+if [ ! -d $BASEDIR ]; then
+	mkdir -p $BASEDIR
+	virtualenv $BASEDIR/venv
+fi
+
+source $BASEDIR/venv/bin/activate
+
+pip install numpy==1.7.2
+pip install cython==0.20.0
+pip install python-dateutil==2.2
+pip install --pre pytz==2013.9
+pip install sphinx==1.1.3
+pip install numexpr==2.2.2
+
+pip install matplotlib==1.3.0
+pip install lxml==3.2.5
+pip install beautifulsoup4==4.3.2
+pip install html5lib==0.99
+
+# You'll need R as well
+pip install rpy2==2.3.9
+
+pip install tables==3.0.0
+pip install bottleneck==0.7.0
+pip install ipython==0.13.2
+
+# only if you have too
+pip install scipy==0.13.2
+
+pip install openpyxl==1.6.2
+pip install xlrd==0.9.2
+pip install xlwt==0.7.5
+pip install xlsxwriter==0.5.1
+pip install sqlalchemy==0.8.3
+
+if [ ! -d "$REPO_LOC" ]; then
+	git clone "$REPO_URL" "$REPO_LOC"
+fi
+
+cd "$REPO_LOC"
+git reset --hard
+git clean -df
+git checkout master
+git pull origin
+make
+
+source $BASEDIR/venv/bin/activate
+export PATH="/usr/lib64/ccache/:$PATH"
+pip uninstall pandas -yq
+pip install "$REPO_LOC"
+
+cd "$REPO_LOC"/doc
+
+python make.py clean
+python make.py html
+if [ ! $? == 0 ]; then
+	exit 1
+fi
+python make.py zip_html
+# usually requires manual intervention
+# python make.py latex
+
+# If you have access:
+# python make.py upload_dev