mention --matplotlib flag, remove pylab references

docs/source/interactive/reference.txt

@@ -54,11 +54,11 b' alias to control them, but IPython lets you configure all of its objects from'
 the command-line by passing the full class name and a corresponding value; type
 ``ipython --help-all`` to see this full list.  For example::
 
-  ipython --pylab qt
+  ipython --matplotlib qt
 
 is equivalent to::
 
-  ipython --TerminalIPythonApp.pylab='qt'
+  ipython --TerminalIPythonApp.matplotlib='qt'
 
 Note that in the second form, you *must* use the equal sign, as the expression
 is evaluated as an actual Python assignment.  While in the above example the
@@ -1003,8 +1003,8 b' object, do::'
 
     %gui wx
 
-For information on IPython's Matplotlib integration (and the ``pylab`` mode)
-see :ref:`this section <matplotlib_support>`.
+For information on IPython's Matplotlib integration (and the ``matplotlib``
+mode) see :ref:`this section <matplotlib_support>`.
 
 For developers that want to use IPython's GUI event loop integration in the
 form of a library, these capabilities are exposed in library form in the
@@ -1039,7 +1039,7 b' PyQt and PySide'
 
 .. attempt at explanation of the complete mess that is Qt support
 
-When you use ``--gui=qt`` or ``--pylab=qt``, IPython can work with either
+When you use ``--gui=qt`` or ``--matplotlib=qt``, IPython can work with either
 PyQt4 or PySide.  There are three options for configuration here, because
 PyQt4 has two APIs for QString and QVariant - v1, which is the default on
 Python 2, and the more natural v2, which is the only API supported by PySide.
@@ -1057,11 +1057,11 b' PyQt4 to use its v2 API. So if ``QT_API=pyside`` PySide will be used,'
 and if ``QT_API=pyqt`` then PyQt4 will be used *with the v2 API* for
 QString and QVariant, so ETS codes like MayaVi will also work with IPython.
 
-If you launch IPython in pylab mode with ``ipython --pylab=qt``, then IPython
-will ask matplotlib which Qt library to use (only if QT_API is *not set*), via
-the 'backend.qt4' rcParam.  If matplotlib is version 1.0.1 or older, then
-IPython will always use PyQt4 without setting the v2 APIs, since neither v2
-PyQt nor PySide work.
+If you launch IPython in matplotlib mode with ``ipython --matplotlib=qt``,
+then IPython will ask matplotlib which Qt library to use (only if QT_API is
+*not set*), via the 'backend.qt4' rcParam.  If matplotlib is version 1.0.1 or
+older, then IPython will always use PyQt4 without setting the v2 APIs, since
+neither v2 PyQt nor PySide work.
 
 .. warning::
 
@@ -1084,7 +1084,8 b' PyGTK, PyQt4 and wxPython. It also provides a number of commands useful for'
 scientific computing, all with a syntax compatible with that of the popular
 Matlab program.
 
-To start using matplotlib support, run the ``%matplotlib`` magic.  If no
+To start IPython with matplotlib support, use the ``--matplotlib`` switch. If
+IPython is already running, you can run the ``%matplotlib`` magic.  If no
 arguments are given, IPython will automatically detect your choice of
 matplotlib backend.  You can also request a specific backend with
 ``%matplotlib backend``, where ``backend`` must be one of: 'tk', 'qt', 'wx',