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Mastering Python: Annotations, Errors and Environment
Mastering Python: Annotations, Errors and Environment
Arbitrary Arguments (*args)
In Python, the *args
syntax is used to pass a varying number of arguments to a function. The *args
parameter allows you to pass any number of positional arguments to a function, and it collects them into a tuple.
Let's implement the multiply()
function that can accept a variable number of arguments:
def multiply(*args): print(args, type(args)) multiply(12, 11, 52, 33)
The function multiply()
accepts a variable number of arguments using the syntax *args
. The arguments are then stored in a tuple called args. We can use a loop to multiply all the arguments together, as shown below:
def multiply(*args): result = 1 for arg in args: print(result, "*", arg) result *= arg return result print("Result =", multiply(12, 11, 52, 33)) print("Result without args:", multiply())
Now, you can see that our function works with no arguments as well as with many arguments.
Note
The parameter
*args
is commonly referred to as variable-length argument or arbitrary argument list.
If we need a function that should take from one/two/... to many arguments, a combination of positional arguments and arbitrary arguments, such as *args
.
def multiply(first, second, *args): result = first * second for arg in args: result *= arg return result print("Correct:", multiply(5, 2, 5, 1, 3)) print("Not correct", multiply(1))
In the example above, you can see that our function returned 150 when called with 2 or more arguments and raised a TypeError when called with fewer than 2 arguments.
It is important to note that the positional arguments should be defined before the optional arguments:
def multiply(first, second, *args): print("first =", first) print("second =", second) result = first * second for arg in args: result *= arg return result print("Result:", multiply(11, 22, first=33, second=44, 55))
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