This post starts from this stackoverflow question.
The interesting part is after you pass the variables to the parser and finished parsing the arguments. The result will be stored in a namespace object, where you can either call the members inside that namespace by calling args.input/args.output like calling an object attribute, or you can use the `vars` command to turn the namespace into a dictionary to work with.
I learned a new series of machine learning from Stanford beyond the one taught by Andrew Ng. It was taught by Travor Hastie and Rob Tibshiran.
Here is a fantastic video tutorial of Hadley Wickham’s dplyr package from Data School.
People say HBase is currently the fastest and widely used key value storage which can also theoretically scale to infinity. I set up HBase-hadoop2 running on my virtual box. And wrote some Java code to put and get data against HBase using the Java Hbase Client API. You can access the code from my github repository.
Here is the documentation of how to use Amazon API:
(1+n) ^ (1/n) ~ e (Proof)