rayhon1014

// lambda in verbose form                		
(int x, int y) -> {return x + y} 

// for single like method body, you can remove { } and return. 
// due to smart input type inference for lambda, you also do not need to specify data type.    		
(x, y) -> x + y     

// lambda that takes no input and returns 5
() -> 5     

rayhon1014

// traditionally we will do the following to sort the list
List<String> names = Arrays.asList("peter", "anna", "mike", "xenia");

Collections.sort(names, new Comparator<String>() {
    @Override
    public int compare(String a, String b) {
        return b.compareTo(a);
    }
});

rayhon1014

// traditionally we will do the following to sort the list
List<String> names = Arrays.asList("peter", "anna", "mike", "xenia");
 
for (String name : names) {
     System.out.print(name + "; ");
}
 
// (1) Using lambda expression and functional operations
players.forEach((player) -> System.out.print(player + "; "));
 

rayhon1014

from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
import numpy as np

iris = load_iris()
print "iris.target = ", iris.target
print "iris.target_name = ", iris.target_names

# populate panda DataFrame where data parameter can take dict, numpy.narray