Example use:
def f(a, b, c, d):
print(a, b, c, d, sep = '&')
f(1,2,3,4)
>>> 1&2&3&4
f(*[1, 2, 3, 4])
>>> 1&2&3&4
Where in the python documentation is *
explained?
Unpacking assigns elements of the list to multiple variables. Use the asterisk (*) in front of a variable like this *variable_name to pack the leftover elements of a list into another list.
The starred expression will create a list object, although we start with a tuple object. Starred expressions can be used with more than just tuples, and we can apply this technique for other iterables (e.g., lists, strings).
Unpacking assigns elements of the list to multiple variables. Use the asterisk (*) in front of a variable like this *variable_name to pack the leftover elements of a list into another list. Did you find this tutorial helpful ?
But it is possible to use multiple starred expressions in an unpacking assignment statement, as long as they’re catch-alls for different parts of the multilevel structure being unpacked. Starred expressions become list instances in all cases.
Using starred expressions, first print the sum of the first values from each tuple in a raw_data list. Then, do the same with all values between the first and the last in each tuple. Now, you're fully starred prepped to use starred expressions! Hope you enjoyed my post!
However, Python provides a better way to do this. It’s called sequence unpacking. Basically, you can assign elements of a list (and also a tuple) to multiple variables. For example: This statement assigns the first, second, and third elements of the colors list to the red, blue, and green variables.
The *args
calling convention is documented in the Expressions reference:
If the syntax
*expression
appears in the function call,expression
must evaluate to an iterable. Elements from this iterable are treated as if they were additional positional arguments; if there are positional arguments x1, ..., xN, andexpression
evaluates to a sequence y1, ..., yM, this is equivalent to a call with M+N positional arguments x1, ..., xN, y1, ..., yM.
So, since you used [1, 2, 3, 4]
as the expression, which is an iterable, and there were no other positional arguments, it is treated as a call with M=0 and N=4, for a total of 4 positional arguments.
You can thus also call your function as f(1, 2, *[3, 4])
or any other combination of iterable and positional arguments, provided the iterable comes after the positionals.
Just an addition to very simply expand on the combination of unnamed and named arguments.
This is the general order you want to keep in mind:
def func(arg_1, ..., arg_N, *args, kwarg_1, ..., kwarg_M, **kwargs):
# do stuff
return True
Where, in most typical cases;
arg_i
is an unnamed argument,args
is a list, hence a set of unnamed arguments,kwarg_j
is a named argument,kwargs
is a dictionary, hence a set of named arguments.If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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