Update gh-pages - 2017-03-17 14:17:44

miykael · miykael · commit 34b076749de4 · 2017-03-17T14:17:44.000+01:00
diff --git a/index.html b/index.html
@@ -11782,7 +11782,7 @@
             But if you want to have the real experience and want to go through the computations by yourself, we highly
             recommend you to do the &lt;a href=&quot;https://github.com/miykael/nipype_course&quot;&gt;Nipype Course&lt;/a&gt;. This course
             gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of
-            Nipype yourself. For the tutorial, you need to install a &lt;a href=&quot;www.docker.com/&quot;&gt;Docker&lt;/a&gt; image on your system that provides you a 
+            Nipype yourself. For the tutorial, you need to install a &lt;a href=&quot;http://www.docker.com/&quot;&gt;Docker&lt;/a&gt; image on your system that provides you a 
             neuroimaging environment based on a Debian system, with working Python software (including Nipype, dipy, matplotlib,
             nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed). This
             neuroimaging environment is based on the docker images under &lt;a href=&quot;https://github.com/miykael/nipype_env&quot;&gt;github.com/miykael/nipype_env&lt;/a&gt;,
@@ -11914,7 +11914,7 @@
             But if you want to have the real experience and want to go through the computations by yourself, we highly
             recommend you to do the <a href="https://github.com/miykael/nipype_course">Nipype Course</a>. This course
             gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of
-            Nipype yourself. For the tutorial, you need to install a <a href="www.docker.com/">Docker</a> image on your system that provides you a 
+            Nipype yourself. For the tutorial, you need to install a <a href="http://www.docker.com/">Docker</a> image on your system that provides you a 
             neuroimaging environment based on a Debian system, with working Python software (including Nipype, dipy, matplotlib,
             nibabel, nipy, numpy, pandas, scipy, seaborn and more), FSL, AFNI, ANTs and SPM12 (no license needed). This
             neuroimaging environment is based on the docker images under <a href="https://github.com/miykael/nipype_env">github.com/miykael/nipype_env</a>,
