WIP: Initial port of qprof run script.
ENH: Implement CLI.

Add a CLI that reads in an algorithm, loads data,
run the algorithm, and output performance metrics.

The examples are adapted to the new zipline API and
analyses are split into separate files.

Also add config files that run the example
algorithms with preset settings.
TST: Add tests for parse_args().
ENH: Add IPython cell magic.

When zipline is imported it checks whether
it runs in the IPython notebook. If it does,
it registers a %%zipline magic that takes the
same arguments as the CLI with the addition of
a -o for specifying the output variable to store
the performance frame in.

The algo code in the cell is, as of yet, executed
in its own environment rather than that of the
IPython NB which is probably what we want.

Also adds cli option to save the perf dataframe
to a pickle file.

Also adds an IPython notebook buyapple example.
DOC: Add doc strings.
STY: Rename run_algo to run_pipeline.
DOC: Add note on installation to setting up dev env.
DOC: Update README on conda installation, CLI and new example algo.
DOC: Fix typo in release announcement.
DOC: Add release notes for 0.6.2.