=== Preparation ===
 * The python script in these tutorials are available at KAGRA cal git repository
{{{
> git clone USER@HOST:/opt/cal/git/kagra-cal.git
Cloning into 'kagra-cal'...
Warning: untrusted X11 forwarding setup failed: xauth key data not generated
remote: Counting objects: 45, done.
remote: Compressing objects: 100% (37/37), done.
remote: Total 45 (delta 10), reused 0 (delta 0)
Receiving objects: 100% (45/45), 20.38 KiB | 6.79 MiB/s, done.
Resolving deltas: 100% (10/10), done.

> ls kagra-cal/Observation/Phase1/tutorials/
README		bode.py		filt		gentd.py	trf
adder		demod		flag		lcache
asd		extr		genfl		lines
}}}
 * Please ask to Yokozawa-san to get the git user account and hostname
 * You need a machine where LAL, LDAStools and GstLAL are installed
 * It is recommended to use one of the [[KAGRA/Subgroups/CAL/WG/offline/gstlal|KAGRA machines]] where all the softwares are installed
 * You should activate LAL and GstLAL environmental variables
{{{
setenv LAL_PREFIX [YOUR_LAL_INSTALLATION_DIR] 
setenv GSTLAL_PREFIX [YOUR_GSTLAL_INSTALLATION_DIR]
source $LAL_PREFIX/etc/etc/lal-user-env.csh
setenv GST_PLUGIN_PATH $GSTLAL_PREFIX/lib/gstreamer-1.0
setenv PYTHONPATH ${PYTHONPATH}:$GSTLAL_PREFIX/lib64/python2.7/site-packages
}}}

 * [[KAGRA/Subgroups/CAL/GstLAL/tutorials/step0|Next (step 0)]]
 * [[KAGRA/Subgroups/CAL/GstLAL/tutorials|Tutorials]]