Sep 10, 2013 · def - Tells python we are declaring a function; square - The name of our function (- The beginning of our arguments for the function; number - The list of arguments (in this case just one)) - The end of the list of arguments: - A token to say the body of the function starts now; The following newline and indent then declare the intentation ...

Jan 17, 2013 · def function(arg)->123: It's simply a return type, integer in this case doesn't matter which number you write. like Java: public int function(int args){...} But for Python (how Jim Fasarakis Hilliard said) the return type it's just an hint, so it's suggest the return but allow anyway to return other type like a string..

As is, it does absolutely nothing. It is a type annotation for the main function that simply states that this function returns None. Type annotations were introduced in Python 3.5 and are specified in PEP 484. Annotations for the return value of a function use the symbol -> followed by a type. It is completely optional and if you removed it ...

May 27, 2010 · Note: For PEP 448: Additional Unpacking Generalizations specific stuff (e.g. [*a, b, *c] or {**d1, **d2}), you'll want to read asterisk in tuple, list and set definitions, double asterisk in dict definition, which is specific to the use outside of function calls and function definitions.

Jun 17, 2011 · def function_decorator(func): def wrapped_func(): # Do something before the function is executed func() # Do something after the function has been executed return wrapped_func The above code is a definition of a decorator that decorates a function. function_decorator is the name of the decorator.

Jul 8, 2017 · class A(object): def __init__(self): self.x = 'Hello' def method_a(self, foo): print self.x + ' ' + foo ... the self variable represents the instance of the object itself. Most object-oriented languages pass this as a hidden parameter to the methods defined on an object; Python does not. You have to declare it explicitly.

Jun 8, 2017 · def print_sum(a, b): print(sum_numbers(a, b)) def sum_numbers(a, b): return a + b print_sum(1, 3) # 4 that works because at the time print_sum is called both functions do exist. However if you call the function before defining sum_numbers it would fail because sum_numbers isn't defined yet:

Dec 21, 2022 · means "if I call the function foo(x, y), sum the two numbers the labels x and y represent and hand back the result", def bar(): pass means "If I call the function bar(), do absolutely nothing." The other answers are quite correct, but it's also useful for a few things that don't involve place-holding.

Mar 15, 2017 · def is executed whenever you hit it in parsing the source file. It defines the function. This means that the body of the function is assigned to the name, the parameters are included in the "signature" (calling format), etc. IN other words, the function is now ready to call from anywhere below that point, within the scope of the containing program.

The nice thing is that the callback function can use normal function parameters. That is, it doesn't need to use the * syntax at all. Here's an example: def my_callback_function(a, b, x, y, z): ... x = 5 y = 6 z = 7 some_function('parm1', 'parm2', my_callback_function, x, y, z)