Add license and readme

LICENSE.txt

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+Copyright © 2015 Brandon Rhodes and available under the MIT license:
+
+Permission is hereby granted, free of charge, to any person obtaining a
+copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be included
+in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

README.md

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+
+# Welcome to Brandon’s Pandas Tutorial
+
+The first instance of this tutorial was delivered at PyCon 2015 in
+Montréal, but I hope that many other people will be able to benefit from
+it over the next few years — both on occasions on which I myself get to
+deliver it, and also when other instructors are able to do so.
+
+To make it useful to as many people as possible, I hereby release it
+under the MIT license (see the accompanying `LICENSE.txt` file) and I
+have tried to make sure that this repository contains all of the scripts
+needed to download and set up the data set that we used.  I will be
+adding detailed setup instructions to this `README.md` file within the
+next few days.
+
+Remember that `git` it is not necessary to benefit from materials that
+you find on GitHub — simply click the “Download ZIP” button over on the
+right-hand side of the project’s front page, and all of the contents
+will be delivered to you as a ZIP file instead:
+
+https://github.com/brandon-rhodes/pycon-pandas-tutorial
+
+For those who want to follow along with the tutorial at home, here is
+the YouTube recording of the 3-hour tutorial at PyCon itself:
+
+https://www.youtube.com/watch?v=5JnMutdy6Fw
+
+I hope that the recording and the exercises in this repository prove
+useful if you are interested in learning more about Python and its data
+analysis capabilities!
+
+— [Brandon Rhodes](http://rhodesmill.org/brandon/)