+We have been developing a sequence of materials that can be run in the IPython
+notebook that walk through how to look at data and how to operate on data.
+These are not meant to be detailed walkthroughs, but simply short
+introductions. Their purpose is to let you explore, interactively, some common
+operations that can be done on data with yt!
+To get started with the bootcamp, you need to download the repository and start
+the IPython notebook. The easiest way, if you have mercurial installed, to get
+ hg clone https://bitbucket.org/yt_analysis/bootcamp2012/
+If you don't, you can download it from `here
+Now you can start the IPython notebook and begin:
+This command will give you information about the Notebook Server and how to
+access it. Once you have done so, choose "Introduction" from the list of
+notebooks, which includes an introduction and information about how to download
+.. warning:: The pre-filled out notebooks are *far* less fun than running them
+ yourselves! Check out the repo and give it a try.
+Here are the notebooks, which have been filled in for inspection:
+ * `Introduction <http://hub.yt-project.org/nb/pvvbhr>`_
+ * `Data Inspection <http://hub.yt-project.org/nb/elryrr>`_
+ * `Simple Visualization <https://hub.yt-project.org/nb/oqq55m>`_
+ * `Data Objects and Time Series <https://hub.yt-project.org/nb/vu3lia>`_
+ * `Derived Fields and Profiles <https://hub.yt-project.org/nb/bspn4w>`_
+ * `Volume Rendering <https://hub.yt-project.org/nb/guo7w6>`_
+Let us know if you would like to contribute other example notebooks, or have
+any suggestions for how these can be improved.