Add readme. Restructure directory

Author: chester-leung

README.md

@@ -0,0 +1,15 @@
+# RISE Camp 2020
+
+Welcome to the MC<sup>2</sup> tutorial for RISE Camp 2020. MC<sup>2</sup> is a platform for secure collaborative computation. In particular, for this tutorial we present [Secure XGBoost](https://github.com/mc2-project/secure-xgboost), a library for secure collaborative gradient boosted decision tree learning. Below are instructions on how to set up and run the tutorial.
+
+## Cloud Setup
+Azure Confidential Computing offers [virtual machines with Intel SGX support](https://azure.microsoft.com/en-us/blog/dcsv2series-vm-now-generally-available-from-azure-confidential-computing/) that you can use with MC2. You can also choose to use non enclave machines, in which case you'll need to build our library in simulation mode, as explained below. 
+
+## Docker Setup
+If you choose not to use the cloud, you can also choose to use Docker. 
+
+## Install Secure XGBoost.
+Follow the README in the [Secure XGBoost repository](https://github.com/mc2-project/secure-xgboost) to install Secure XGBoost. If using a machine without enclave support, build the library in simulation mode -- take a look at step 5 of the ["Installation"](https://github.com/mc2-project/secure-xgboost#installation) section. 
+
+## Start the tutorial
+Once you've installed Secure XGBoost, clone this repository and navigate to `risecamp/mc2/tutorial/`. Begin the tutorial with Exercise 1. You'll need multiple people doing the tutorial together for the tutorial.

mc2/README.md

@@ -1,4 +1,5 @@
 import json
+import pandas as pd
 
 with open('vmss.json') as f:
   data = json.load(f)
@@ -7,6 +8,9 @@
 
 for vm in data["value"]:
     ip = vm["properties"]["ipAddress"]
-    ips.append(ip)
+    ips.append(ip + ":8888")
 
-print(ips)
+#  print(ips)
+
+df = pd.DataFrame(ips)
+df.to_csv("ip.csv", index=False)