ReadMe update for Uploading data

README.md

@@ -67,6 +67,35 @@ returns:
     2012-09-30  210.212855
     2012-06-30  179.322638
 
+
+##Uploads
+You can now upload your own data to Quandl through the Python package.
+
+At this time the only accepted format is a date indexed Pandas DataSeries.
+
+Things to do before you upload:
+
+* Make an account and set your authentication token within the package with the Quandl.auth() function.
+* Get your data into a data frame with the dates in the first column.
+* Pick a code for your dataset - only capital letters, numbers and underscores are acceptable.
+
+Then call this function
+	`Quandl.push(data,code = "TEST", name ="Test", desc="test")`
+All parameters but desc are necessary
+
+if you wish to override the existing set at code TEST add `override= True`
+
+
+
+Example
+========
+Uploading a pandas DataSeries with random data
+
+	data = pandas.DataFrame(numpy.random.randn(6, 3), index=['Dec 12 2296', 'Dec 21 1998', 'Oct 9 2000','Oct 19 2001', 'Oct 30 2003', 'Nov 12 2003'],columns=['D', 'B', 'C'])
+	print Quandl.push(data,code = "F32C", name ="Test", desc="test", authtoken = "YOURTOKENHERE")
+
+Will return the link to your newly uploaded data
+
 Recommended Usage
 ================
 The IPython notebook is an excellent python environment for interactive data work. Spyder is also a superb IDE for analysis and more numerical work.