linkedin_python_itertools.py

# Itertools 

# itertools is a module that contains a number of iterator building blocks. 

# The module standardizes a core set of fast, memory efficient tools that are 

# useful by themselves or in combination. Together, they form an iterator

# algebra making it possible to construct specialized tools succinctly and

import itertools 

def testFunction(x): 
    return x < 40

def main():
    # TODO: cycle iterator can be used to cycle over a collection
    seq1 = ["Joe", "John", "Mike"] 
    cycle1 = itertools.cycle(seq1) 
    # print(next(cycle1))
    # print(next(cycle1))
    # print(next(cycle1))
    # print(next(cycle1))

    # TODO: use count to create a simple counter 
    count1 = itertools.count(100,5)
    # print(next(count1))
    # print(next(count1))
    # print(next(count1))
    # print(next(count1))

    # TODO: accumulate creates an iterator that accumulates values 
    vals = [10,20,30,40,50,40,30]  
    acc = itertools.accumulate(vals,max)
    # print(list(acc))

    # TODO: use chain to connect sequences together
    x = itertools.chain("ABCD", "1234")
    # print(list(x))

    # TODO: dropwhile and takewhile will return values until a certain condition is met that stops them 
    print(list(itertools.dropwhile(testFunction, vals)))
    print(list(itertools.takewhile(testFunction, vals)))





if __name__ == "__main__":
    main()