python.txt

Use Map reduce to divide CPU intensive tasks:
    *def get_paths():
    return []
def get_inpus():
    return []
pool = Pool(4)
paths = pool.map(get_paths, get_input())*

Comprehensions
    *EXP for x in seq*
    With filter
    *EXP for x in seq if COND *
    You need to a assign it to a data structure:
    *x = [COMP] # list
set(COMP) lis(COMP) str(COMP) iter(COMP)*


Python functional
    Iterators
    *iter(obj)
next()
list(iter), tuple(iter) -> converts iterator to list*

    Generator expressions and list comprehensions: Perform an operation to every element, select a subset of elemnts that meet a condition.
    *iter = (elem.func() for elem in list)
list = [elem.func() for elem in list]*

    You can select elements that meet a specific condition:
    *list = [elem.func() for elem in list
if elem != ""]*