You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
you everything so that you can start creating your own workflows in no time. We recommend that you start with
11802
11802
the introduction section to familiarize yourself with the tools used in this tutorial and then move on to the
11803
11803
basic concepts section to learn everything you need to know for your everyday life with Nipype. The workflow
11804
-
examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
11804
+
examples section shows you a real example how you can use Nipype to analyze an actual dataset. For a very
11805
11805
quick non-imaging introduction, you can check the Nipype Quickstart notebooks in the introduciton section.
11806
11806
</p><p>
11807
11807
All of the notebooks used in this tutorial can be found on <a href="https://github.com/miykael/nipype_tutorial">github.com/miykael/nipype_tutorial</a>.
11808
11808
But if you want to have the real experience and want to go through the computations by yourself, we highly
11809
-
recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
11809
+
recommend you to use a Docker container. More about the Docker image that can be used to run the tutorial can be found
This docker container gives you the opportunity to adapt the commands to your liking and discover the flexibility and real power of
11812
11812
Nipype yourself.
@@ -11816,10 +11816,10 @@
11816
11816
with working Python 3 software (including Nipype, dipy, matplotlib, nibabel, nipy, numpy, pandas, scipy, seaborn and more),
11817
11817
FSL, ANTs and SPM12 (no license needed). We used <a href="https://github.com/kaczmarj/neurodocker">Neurodocker</a> to create this docker image.
11818
11818
</p><p>
11819
-
If you do not want to run tutorial locally, you can also use
Binder automatically launch the Docker container for you and you have access to all of the notebooks.
11822
+
Note, that Binder provides between 1G and 4G RAM memory, some notebooks from Workflow Examples might not work.
11823
11823
All notebooks from Introduction and Basic Concepts parts should work.
11824
11824
</p><p>
11825
11825
For everything that isn't covered in this tutorial, check out the <a href="http://nipype.readthedocs.io/en/latest/">main homepage</a>.
@@ -11923,15 +11923,15 @@
11923
11923
<!--The following code will cause the code cell to disappear-->
0 commit comments