Update README with more instructions.

Author: hashmap0x

README.md

@@ -15,6 +15,108 @@ instance with
 
     $ cf push
 
+The slides are available [on Speakerdeck](https://speakerdeck.com/ihuston/pydata-london-2015-getting-started-with-cloud-foundry-for-data-science).
+
+Getting Started
+===============
+
+If you do not have an account on a Cloud Foundry installation you can
+register for a free trial at [Pivotal Web Services (PWS)](http://run.pivotal.io).
+
+Download the Cloud Foundry Command Line Interface from the CF management console
+or [the CF Github repo](https://github.com/cloudfoundry/cli).
+This provides the `cf` command which you will use to interact with a CF installation.
+
+Target the CF installation API with `cf api`. For example for PWS:
+
+    $ cf api https://api.run.pivotal.io
+
+Pushing your first app
+======================
+
+The first app is in the folder `01-simple-python-app`.
+Have a look at the code and then deploy using `cf push`.
+
+    $ cd 01-simple-python-app
+    $ cf push
+
+You can inspect the app's streaming logs using `cf logs myapp`.
+
+You can scale your app by changing the number of instances and the available RAM:
+
+    $ cf scale myapp -i 5
+    $ cf scale myapp -m 256M
+
+Pushing an app with PyData dependencies
+=======================================
+
+The second app is in the folder `02-pydata-spyre-app`.
+This app is built using [Spyre](https://github.com/adamhajari/spyre) by Adam Hajari.
+
+This application uses the [Python Conda Buildpack](https://github.com/ihuston/python-conda-buildpack)
+to provision dependencies using `conda`. This buildpack is specified in the `manifest.yml` file.
+
+The `environment.yml` file contains the `conda` environment specification.
+
+Push the app using `cf push` and visit the app URL to see a simple interactive visualisation.
+
+    $ cd ../02-pydata-spyre-app
+    $ cf push
+
+Using data services
+===================
+
+The third app is in the folder '03-services-redis'.
+
+Services provide persistent storage and other useful resources for your applications.
+
+First, create a free Redis service provided by Rediscloud:
+
+    $ cf create-service rediscloud 30mb myredis
+
+You can bind this to your apps making it available via the `VCAP_SERVICES`
+environmental variable.
+
+    $ cf bind-service myapp myredis
+
+Look at the environmental variables your app has with `cf env myapp`.
+
+Now you can push the third app which uses Redis as its backing store.
+
+    $ cd ../03-services-redis
+    $ cf push
+
+The manifest specifies that this app should be bound to the myredis service instancet
+that you just created.
+
+Putting it all together
+=======================
+
+The fourth app is in the folder '04-learning-api'.
+
+We can put everything we've learned into practice by building our own simple
+machine learning API.
+
+This is a simplified version of [a project](https://github.com/alexkago/ds-cfpylearning)
+by [Alex Kagoshima](http://twitter.com/akagoshima).
+
+**Don't forget to stop all your apps when you are finished with**
+
+    $ cf stop myapp
+    $ cf stop sinewave
+    $ cf stop testredis
+    $ cf stop learning-api
+
+Resources
+=========
+
+* [Cloud Foundry documentation](http://docs.cloudfoundry.org)
+* [Pivotal Web Services](http://run.pivotal.io)
+* [CF Summit Videos](https://www.youtube.com/playlist?list=PLhuMOCWn4P9g-UMN5nzDiw78zgf5rJ4gR)
+* [CF Meetups](http://cloud-foundry.meetup.com)
+* [Slides for this tutorial](https://speakerdeck.com/ihuston/pydata-london-2015-getting-started-with-cloud-foundry-for-data-science)
+
+
 License: See LICENSE.txt in each example folder
 
 Author: Ian Huston