Update README.md

README.md

@@ -5,7 +5,9 @@ The Jupyter Notebook in this repository is a self-guided tutorial that walks the
 
 If you're participating at an DM-hosted event for this prupose, you can use a JupyterLab environment (a technology we're considering as a major component for the LSST Science Platform) we've set up for the meeting.  To do so, request membership in the [`lsst-dm-tutorial` GitHub organization](https://github.com/lsst-dm-tutorial) -- you may need to have one our organizers confirm your identity if your GitHub account isn't one we recognize.  This may not be available until Tuesday.
 
-You should then be able to log into https://tutorial.lsst.codes, using your GitHub credentials.  Once there, start a server, spawn an environment (use w_2018_01 or whatever the latest weekly option offered), and  open a terminal.  Then do:
+You should then be able to log into https://tutorial.lsst.codes, using your GitHub credentials.  Once there, start a server, spawn an environment (use Weekly 2018_01 or whatever the most recent weekly option offered is), and open a terminal (File->New->Terminal).  
+
+Then in your terminal:
 
 ```
 cd notebooks
@@ -19,6 +21,6 @@ git checkout answers
 ```
 That will run through with no errors (there are some warnings you can ignore, they will be addressed soon)
 
-**IMPORTANT: When you are not actually working on the tutorial, please release resources for other users by using the menu to save and exit the JupyterLab environment (File-> .  The next time you log in, the notebook cells you've worked through will have to be re-executed, but otherwise everything should be as you left it.**
+**IMPORTANT: When you are not actually working on the tutorial, please release resources for other users by using the menu to save and exit the JupyterLab environment (File->Save All Exit and Logout) .  The next time you log in, the notebook cells you've worked through will have to be re-executed, but otherwise everything should be as you left it.**
 
 It also should be possible to run the tutorial notebook on any system on which the LSST stack (version `w_2018_01` is recommended) has been installed.  Instructions for installing the stack can be found at http://pipelines.lsst.io.