What do *args and **kwargs mean? [duplicate]

Question

What exactly do *args and **kwargs mean?

According to the Python documentation, from what it seems, it passes in a tuple of arguments.

def foo(hello, *args):
    print(hello)

    for each in args:
        print(each)

if __name__ == '__main__':
    foo("LOVE", ["lol", "lololol"])

This prints out:

LOVE
['lol', 'lololol']

How do you effectively use them?

Answer 1

Also, we use them for managing inheritance.

class Super( object ):
   def __init__( self, this, that ):
       self.this = this
       self.that = that

class Sub( Super ):
   def __init__( self, myStuff, *args, **kw ):
       super( Sub, self ).__init__( *args, **kw )
       self.myStuff= myStuff

x= Super( 2.7, 3.1 )
y= Sub( "green", 7, 6 )

This way Sub doesn't really know (or care) what the superclass initialization is. Should you realize that you need to change the superclass, you can fix things without having to sweat the details in each subclass.

Answer 2

Notice the cool thing in S.Lott's comment - you can also call functions with *mylist and **mydict to unpack positional and keyword arguments:

def foo(a, b, c, d):
  print a, b, c, d

l = [0, 1]
d = {"d":3, "c":2}

foo(*l, **d)

Will print: 0 1 2 3

Answer 3

Another good use for *args and **kwargs: you can define generic "catch all" functions, which is great for decorators where you return such a wrapper instead of the original function.

An example with a trivial caching decorator:

import pickle, functools
def cache(f):
  _cache = {}
  def wrapper(*args, **kwargs):
    key = pickle.dumps((args, kwargs))
    if key not in _cache:
      _cache[key] = f(*args, **kwargs) # call the wrapped function, save in cache
    return _cache[key] # read value from cache
  functools.update_wrapper(wrapper, f) # update wrapper's metadata
  return wrapper

import time
@cache
def foo(n):
  time.sleep(2)
  return n*2

foo(10) # first call with parameter 10, sleeps
foo(10) # returns immediately

Answer 4

Just to clarify how to unpack the arguments, and take care of missing arguments etc.

def func(**keyword_args):
  #-->keyword_args is a dictionary
  print 'func:'
  print keyword_args
  if keyword_args.has_key('b'): print keyword_args['b']
  if keyword_args.has_key('c'): print keyword_args['c']

def func2(*positional_args):
  #-->positional_args is a tuple
  print 'func2:'
  print positional_args
  if len(positional_args) > 1:
    print positional_args[1]

def func3(*positional_args, **keyword_args):
  #It is an error to switch the order ie. def func3(**keyword_args, *positional_args):
  print 'func3:'
  print positional_args
  print keyword_args

func(a='apple',b='banana')
func(c='candle')
func2('apple','banana')#It is an error to do func2(a='apple',b='banana')
func3('apple','banana',a='apple',b='banana')
func3('apple',b='banana')#It is an error to do func3(b='banana','apple')