Call specific function within function depending on user input [duplicate] - python

For instance, I've tried things like mydict = {'funcList1': [foo(),bar(),goo()], 'funcList2': [foo(),goo(),bar()], which doesn't work.
Is there some kind of structure with this kind of functionality?
I realize that I could obviously do this just as easily with a bunch of def statements:
def func1():
foo()
bar()
goo()
But the number of statements I need is getting pretty unwieldy and tough to remember. It would be nice to wrap them nicely in a dictionary that I could examine the keys of now and again.

Functions are first class objects in Python and so you can dispatch using a dictionary. For example, if foo and bar are functions, and dispatcher is a dictionary like so.
dispatcher = {'foo': foo, 'bar': bar}
Note that the values are foo and bar which are the function objects, and NOT foo() and bar().
To call foo, you can just do dispatcher['foo']()
EDIT: If you want to run multiple functions stored in a list, you can possibly do something like this.
dispatcher = {'foobar': [foo, bar], 'bazcat': [baz, cat]}
def fire_all(func_list):
for f in func_list:
f()
fire_all(dispatcher['foobar'])

# Lets say you have 10 programs or functions:
func_list = [program_001, program_002, program_003, program_004, program_005,
program_006, program_007, program_008, program_009, program_010]
choose_program = int(input('Please Choose a program: ')) # input function number
func_list[choose_program - 1]()

Case 1: Without Params.
The way that is employed to achieve this task is that the function name is kept as dictionary values, and while calling with keys, brackets ‘()’ are added.
# Python3 code to demonstrate the working of
# Functions as dictionary values
# Using Without params
# call Gfg fnc
def print_key1():
return "This is Gfg's value"
# initializing dictionary
# check for function name as key
test_dict = {"Gfg": print_key1, "is": 5, "best": 9}
# printing original dictionary
print("The original dictionary is : " + str(test_dict))
# calling function using brackets
res = test_dict['Gfg']()
# printing result
print("The required call result : " + str(res))
Case 2: With params
The task of calling with params is similar to the above case, the values are passed during the function call inside brackets as in usual function calls.
# Python3 code to demonstrate the working of
# Functions as dictionary values
# Using With params
# call Gfg fnc
def sum_key(a, b):
return a + b
# initializing dictionary
# check for function name as key
test_dict = {"Gfg": sum_key, "is": 5, "best": 9}
# printing original dictionary
print("The original dictionary is : " + str(test_dict))
# calling function using brackets
# params inside brackets
res = test_dict['Gfg'](10, 34)
# printing result
print("The required call result : " + str(res))
The original dictionary is: {'Gfg': <function sum_key at 0x7f538d017e18>, 'is': 5, 'best': 9}
The required call result: 44
SOURCE: geeksforgeeks

Related

Python output based question, (elementry lvl),output using user defined function [duplicate]

This question already has answers here:
What is the purpose of the return statement? How is it different from printing?
(15 answers)
Closed 8 months ago.
In my previous question, Andrew Jaffe writes:
In addition to all of the other hints and tips, I think you're missing something crucial: your functions actually need to return something.
When you create autoparts() or splittext(), the idea is that this will be a function that you can call, and it can (and should) give something back.
Once you figure out the output that you want your function to have, you need to put it in a return statement.
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
print(parts_dict)
>>> autoparts()
{'part A': 1, 'part B': 2, ...}
This function creates a dictionary, but it does not return something. However, since I added the print, the output of the function is shown when I run the function. What is the difference between returning something and printing it?
print simply prints out the structure to your output device (normally the console). Nothing more. To return it from your function, you would do:
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
Why return? Well if you don't, that dictionary dies (gets garbage collected) and is no longer accessible as soon as this function call ends. If you return the value, you can do other stuff with it. Such as:
my_auto_parts = autoparts()
print(my_auto_parts['engine'])
See what happened? autoparts() was called and it returned the parts_dict and we stored it into the my_auto_parts variable. Now we can use this variable to access the dictionary object and it continues to live even though the function call is over. We then printed out the object in the dictionary with the key 'engine'.
For a good tutorial, check out dive into python. It's free and very easy to follow.
The print statement will output an object to the user. A return statement will allow assigning the dictionary to a variable once the function is finished.
>>> def foo():
... print "Hello, world!"
...
>>> a = foo()
Hello, world!
>>> a
>>> def foo():
... return "Hello, world!"
...
>>> a = foo()
>>> a
'Hello, world!'
Or in the context of returning a dictionary:
>>> def foo():
... print {'a' : 1, 'b' : 2}
...
>>> a = foo()
{'a': 1, 'b': 2}
>>> a
>>> def foo():
... return {'a' : 1, 'b' : 2}
...
>>> a = foo()
>>> a
{'a': 1, 'b': 2}
(The statements where nothing is printed out after a line is executed means the last statement returned None)
I think you're confused because you're running from the REPL, which automatically prints out the value returned when you call a function. In that case, you do get identical output whether you have a function that creates a value, prints it, and throws it away, or you have a function that creates a value and returns it, letting the REPL print it.
However, these are very much not the same thing, as you will realize when you call autoparts with another function that wants to do something with the value that autoparts creates.
you just add a return statement...
def autoparts():
parts_dict={}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
printing out only prints out to the standard output (screen) of the application. You can also return multiple things by separating them with commas:
return parts_dict, list_of_parts
to use it:
test_dict = {}
test_dict = autoparts()
Major difference:
Calling print will immediately make your program write out text for you to see. Use print when you want to show a value to a human.
return is a keyword. When a return statement is reached, Python will stop the execution of the current function, sending a value out to where the function was called. Use return when you want to send a value from one point in your code to another.
Using return changes the flow of the program. Using print does not.
A function is, at a basic level, a block of code that can executed, not when written, but when called. So let's say I have the following piece of code, which is a simple multiplication function:
def multiply(x,y):
return x * y
So if I called the function with multiply(2,3), it would return the value 6. If I modified the function so it looks like this:
def multiply(x,y):
print(x*y)
return x*y
...then the output is as you would expect, the number 6 printed. However, the difference between these two statements is that print merely shows something on the console, but return "gives something back" to whatever called it, which is often a variable. The variable is then assigned the value of the return statement in the function that it called. Here is an example in the python shell:
>>> def multiply(x,y):
return x*y
>>> multiply(2,3) #no variable assignment
6
>>> answer = multiply(2,3) #answer = whatever the function returns
>>> answer
6
So now the function has returned the result of calling the function to the place where it was called from, which is a variable called 'answer' in this case.
This does much more than simply printing the result, because you can then access it again. Here is an example of the function using return statements:
>>> x = int(input("Enter a number: "))
Enter a number: 5
>>> y = int(input("Enter another number: "))
Enter another number: 6
>>> answer = multiply(x,y)
>>> print("Your answer is {}".format(answer)
Your answer is 30
So it basically stores the result of calling a function in a variable.
def add(x, y):
return x+y
That way it can then become a variable.
sum = add(3, 5)
print(sum)
But if the 'add' function print the output 'sum' would then be None as action would have already taken place after it being assigned.
Unfortunately, there is a character limit so this will be in many parts. First thing to note is that return and print are statements, not functions, but that is just semantics.
I’ll start with a basic explanation. print just shows the human user a string representing what is going on inside the computer. The computer cannot make use of that printing. return is how a function gives back a value. This value is often unseen by the human user, but it can be used by the computer in further functions.
On a more expansive note, print will not in any way affect a function. It is simply there for the human user’s benefit. It is very useful for understanding how a program works and can be used in debugging to check various values in a program without interrupting the program.
return is the main way that a function returns a value. All functions will return a value, and if there is no return statement (or yield but don’t worry about that yet), it will return None. The value that is returned by a function can then be further used as an argument passed to another function, stored as a variable, or just printed for the benefit of the human user.
Consider these two programs:
def function_that_prints():
print "I printed"
def function_that_returns():
return "I returned"
f1 = function_that_prints()
f2 = function_that_returns()
print "Now let us see what the values of f1 and f2 are"
print f1 --->None
print f2---->"I returned"
When function_that_prints ran, it automatically printed to the console "I printed". However, the value stored in f1 is None because that function had no return statement.
When function_that_returns ran, it did not print anything to the console. However, it did return a value, and that value was stored in f2. When we printed f2 at the end of the code, we saw "I returned"
The below examples might help understand:
def add_nums1(x,y):
print(x+y)
def add_nums2(x,y):
return x+y
#----Function output is usable for further processing
add_nums2(10,20)/2
15.0
#----Function output can't be used further (gives TypeError)
add_nums1(10,20)/2
30
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-124-e11302d7195e> in <module>
----> 1 add_nums1(10,20)/2
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

Print common letters from two string by calling only one print [duplicate]

This question already has answers here:
What is the purpose of the return statement? How is it different from printing?
(15 answers)
Closed 8 months ago.
In my previous question, Andrew Jaffe writes:
In addition to all of the other hints and tips, I think you're missing something crucial: your functions actually need to return something.
When you create autoparts() or splittext(), the idea is that this will be a function that you can call, and it can (and should) give something back.
Once you figure out the output that you want your function to have, you need to put it in a return statement.
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
print(parts_dict)
>>> autoparts()
{'part A': 1, 'part B': 2, ...}
This function creates a dictionary, but it does not return something. However, since I added the print, the output of the function is shown when I run the function. What is the difference between returning something and printing it?
print simply prints out the structure to your output device (normally the console). Nothing more. To return it from your function, you would do:
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
Why return? Well if you don't, that dictionary dies (gets garbage collected) and is no longer accessible as soon as this function call ends. If you return the value, you can do other stuff with it. Such as:
my_auto_parts = autoparts()
print(my_auto_parts['engine'])
See what happened? autoparts() was called and it returned the parts_dict and we stored it into the my_auto_parts variable. Now we can use this variable to access the dictionary object and it continues to live even though the function call is over. We then printed out the object in the dictionary with the key 'engine'.
For a good tutorial, check out dive into python. It's free and very easy to follow.
The print statement will output an object to the user. A return statement will allow assigning the dictionary to a variable once the function is finished.
>>> def foo():
... print "Hello, world!"
...
>>> a = foo()
Hello, world!
>>> a
>>> def foo():
... return "Hello, world!"
...
>>> a = foo()
>>> a
'Hello, world!'
Or in the context of returning a dictionary:
>>> def foo():
... print {'a' : 1, 'b' : 2}
...
>>> a = foo()
{'a': 1, 'b': 2}
>>> a
>>> def foo():
... return {'a' : 1, 'b' : 2}
...
>>> a = foo()
>>> a
{'a': 1, 'b': 2}
(The statements where nothing is printed out after a line is executed means the last statement returned None)
I think you're confused because you're running from the REPL, which automatically prints out the value returned when you call a function. In that case, you do get identical output whether you have a function that creates a value, prints it, and throws it away, or you have a function that creates a value and returns it, letting the REPL print it.
However, these are very much not the same thing, as you will realize when you call autoparts with another function that wants to do something with the value that autoparts creates.
you just add a return statement...
def autoparts():
parts_dict={}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
printing out only prints out to the standard output (screen) of the application. You can also return multiple things by separating them with commas:
return parts_dict, list_of_parts
to use it:
test_dict = {}
test_dict = autoparts()
Major difference:
Calling print will immediately make your program write out text for you to see. Use print when you want to show a value to a human.
return is a keyword. When a return statement is reached, Python will stop the execution of the current function, sending a value out to where the function was called. Use return when you want to send a value from one point in your code to another.
Using return changes the flow of the program. Using print does not.
A function is, at a basic level, a block of code that can executed, not when written, but when called. So let's say I have the following piece of code, which is a simple multiplication function:
def multiply(x,y):
return x * y
So if I called the function with multiply(2,3), it would return the value 6. If I modified the function so it looks like this:
def multiply(x,y):
print(x*y)
return x*y
...then the output is as you would expect, the number 6 printed. However, the difference between these two statements is that print merely shows something on the console, but return "gives something back" to whatever called it, which is often a variable. The variable is then assigned the value of the return statement in the function that it called. Here is an example in the python shell:
>>> def multiply(x,y):
return x*y
>>> multiply(2,3) #no variable assignment
6
>>> answer = multiply(2,3) #answer = whatever the function returns
>>> answer
6
So now the function has returned the result of calling the function to the place where it was called from, which is a variable called 'answer' in this case.
This does much more than simply printing the result, because you can then access it again. Here is an example of the function using return statements:
>>> x = int(input("Enter a number: "))
Enter a number: 5
>>> y = int(input("Enter another number: "))
Enter another number: 6
>>> answer = multiply(x,y)
>>> print("Your answer is {}".format(answer)
Your answer is 30
So it basically stores the result of calling a function in a variable.
def add(x, y):
return x+y
That way it can then become a variable.
sum = add(3, 5)
print(sum)
But if the 'add' function print the output 'sum' would then be None as action would have already taken place after it being assigned.
Unfortunately, there is a character limit so this will be in many parts. First thing to note is that return and print are statements, not functions, but that is just semantics.
I’ll start with a basic explanation. print just shows the human user a string representing what is going on inside the computer. The computer cannot make use of that printing. return is how a function gives back a value. This value is often unseen by the human user, but it can be used by the computer in further functions.
On a more expansive note, print will not in any way affect a function. It is simply there for the human user’s benefit. It is very useful for understanding how a program works and can be used in debugging to check various values in a program without interrupting the program.
return is the main way that a function returns a value. All functions will return a value, and if there is no return statement (or yield but don’t worry about that yet), it will return None. The value that is returned by a function can then be further used as an argument passed to another function, stored as a variable, or just printed for the benefit of the human user.
Consider these two programs:
def function_that_prints():
print "I printed"
def function_that_returns():
return "I returned"
f1 = function_that_prints()
f2 = function_that_returns()
print "Now let us see what the values of f1 and f2 are"
print f1 --->None
print f2---->"I returned"
When function_that_prints ran, it automatically printed to the console "I printed". However, the value stored in f1 is None because that function had no return statement.
When function_that_returns ran, it did not print anything to the console. However, it did return a value, and that value was stored in f2. When we printed f2 at the end of the code, we saw "I returned"
The below examples might help understand:
def add_nums1(x,y):
print(x+y)
def add_nums2(x,y):
return x+y
#----Function output is usable for further processing
add_nums2(10,20)/2
15.0
#----Function output can't be used further (gives TypeError)
add_nums1(10,20)/2
30
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-124-e11302d7195e> in <module>
----> 1 add_nums1(10,20)/2
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

Python methods and "switches"

I'm trying to use a dictionary as a switch statement as in
def add(first, second):
return first + second
def sub():
...
return something
operations = {
"Add": add,
"Sub": sub
}
ret_val = operations[operation]
Now how can I pass the arguments to add and sub and get their response? Currently, I don't pass anything to the methods, and testing the ret_val. What I see is the operation getting called, but the return doesn't come back. What I get is the pointer to the operation method.
Thanks!
To call a function, put the arguments in parentheses after it, just like when you call a function directly by its name.
ret_val = operations[operation](1, 2)
Note that for this to work properly, all the functions in operations need to take the same number of arguments. So it won't work if add() takes two arguments but sub() takes none, as you've shown.
If the functions can take different numbers of arguments, you could put the arguments in a list and use the unpacking operator.
args = (1, 2)
ret_val = operations[operation](*args)
Then you just have to ensure that args contains the appropriate number of arguments for the particular operation.
The dictionary contains callable functions. To call them, just add the arguments in parentheses.
operations[operation](arg1, ...)
So, the main thing you're missing is executing the function call. The code as provided grabs the function reference properly, but you need parens to execute it.
Once you execute it, you need some way to pass arguments. Because the number of args varies by function, the best way is to pass both a variable number of args list (*args) and a dictionary of keyword arguments (**kwargs).
I've filled in your pseudocode slightly so these run:
def add(first, second):
return first + second
def sub(first, second):
return first - second
operations = {
"Add": add,
"Sub": sub,
}
Call add with args:
op = 'Add'
op_args = [1, 2]
op_kwargs = {}
ret_val = operations[operation](*op_args, **op_kwargs)
print(ret_val)
3
Call add with kwargs:
op = 'Add'
op_args = []
op_kwargs = {'first': 3, 'second': 4}
ret_val = operations[operation](*op_args, **op_kwargs)
print(ret_val)
7
If you try to pass both args and kwargs in a conflicting way, it will fail:
# WON'T WORK
op = 'Add'
op_args = [1, 2]
op_kwargs = {'first': 3, 'second': 4}
ret_val = operations[operation](*op_args, **op_kwargs)
print(ret_val)
TypeError: add() got multiple values for argument 'first'
But you can use both in a complementary way:
op = 'Add'
op_args = [1]
op_kwargs = {'second': 4}
ret_val = operations[operation](*op_args, **op_kwargs)
print(ret_val)
5
One technical note is that the naming args and kwargs is purely convention in Python. You could call them whatever you want. An answer that discusses the two more is available here: https://stackoverflow.com/a/36908/149428.
Note that I did not do any input validation, etc for the purpose of a simple, focused answer. If you're getting input from a user, that's an important step to remember.

How to pass predefined arguments when storing a function

Is it possible to store a function with predefined arguments to be called by another function?
For example:
def function(num):
print num
trigger=function #store function(1)
trigger() #prints 1
trigger=function #store function(2)
trigger() #prints 2
trigger calls whatever is stored without passing any arguments. I can change trigger but that would require me to rewrite the function that calls the trigger, so I'm wondering if there is a way to store functions along with arguments when storing a function in a variable.
You're looking for functools.partial:
>>> import functools
>>> def foo(number):
... print number
...
>>> bar = functools.partial(foo, 1)
>>> bar()
1
Someone already mentioned functools.partial which is preferred, but you can also use lambda functions without arguments:
trigger1 = lambda: function(1)
trigger2 = lambda: function(2)
Note: As someone mentioned, be careful about defining functions like this in loops or by referencing any value in the lambda body that might change.
You might end up in a situation like this:
a = []
for i in range(5):
a.append(lambda: i)
b = [func() for func in a]
# equals [4, 4, 4, 4, 4]
# to avoid this, do a.append(lambda i=i: i)

How is returning the output of a function different from printing it? [duplicate]

This question already has answers here:
What is the purpose of the return statement? How is it different from printing?
(15 answers)
Closed 8 months ago.
In my previous question, Andrew Jaffe writes:
In addition to all of the other hints and tips, I think you're missing something crucial: your functions actually need to return something.
When you create autoparts() or splittext(), the idea is that this will be a function that you can call, and it can (and should) give something back.
Once you figure out the output that you want your function to have, you need to put it in a return statement.
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
print(parts_dict)
>>> autoparts()
{'part A': 1, 'part B': 2, ...}
This function creates a dictionary, but it does not return something. However, since I added the print, the output of the function is shown when I run the function. What is the difference between returning something and printing it?
print simply prints out the structure to your output device (normally the console). Nothing more. To return it from your function, you would do:
def autoparts():
parts_dict = {}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
Why return? Well if you don't, that dictionary dies (gets garbage collected) and is no longer accessible as soon as this function call ends. If you return the value, you can do other stuff with it. Such as:
my_auto_parts = autoparts()
print(my_auto_parts['engine'])
See what happened? autoparts() was called and it returned the parts_dict and we stored it into the my_auto_parts variable. Now we can use this variable to access the dictionary object and it continues to live even though the function call is over. We then printed out the object in the dictionary with the key 'engine'.
For a good tutorial, check out dive into python. It's free and very easy to follow.
The print statement will output an object to the user. A return statement will allow assigning the dictionary to a variable once the function is finished.
>>> def foo():
... print "Hello, world!"
...
>>> a = foo()
Hello, world!
>>> a
>>> def foo():
... return "Hello, world!"
...
>>> a = foo()
>>> a
'Hello, world!'
Or in the context of returning a dictionary:
>>> def foo():
... print {'a' : 1, 'b' : 2}
...
>>> a = foo()
{'a': 1, 'b': 2}
>>> a
>>> def foo():
... return {'a' : 1, 'b' : 2}
...
>>> a = foo()
>>> a
{'a': 1, 'b': 2}
(The statements where nothing is printed out after a line is executed means the last statement returned None)
I think you're confused because you're running from the REPL, which automatically prints out the value returned when you call a function. In that case, you do get identical output whether you have a function that creates a value, prints it, and throws it away, or you have a function that creates a value and returns it, letting the REPL print it.
However, these are very much not the same thing, as you will realize when you call autoparts with another function that wants to do something with the value that autoparts creates.
you just add a return statement...
def autoparts():
parts_dict={}
list_of_parts = open('list_of_parts.txt', 'r')
for line in list_of_parts:
k, v = line.split()
parts_dict[k] = v
return parts_dict
printing out only prints out to the standard output (screen) of the application. You can also return multiple things by separating them with commas:
return parts_dict, list_of_parts
to use it:
test_dict = {}
test_dict = autoparts()
Major difference:
Calling print will immediately make your program write out text for you to see. Use print when you want to show a value to a human.
return is a keyword. When a return statement is reached, Python will stop the execution of the current function, sending a value out to where the function was called. Use return when you want to send a value from one point in your code to another.
Using return changes the flow of the program. Using print does not.
A function is, at a basic level, a block of code that can executed, not when written, but when called. So let's say I have the following piece of code, which is a simple multiplication function:
def multiply(x,y):
return x * y
So if I called the function with multiply(2,3), it would return the value 6. If I modified the function so it looks like this:
def multiply(x,y):
print(x*y)
return x*y
...then the output is as you would expect, the number 6 printed. However, the difference between these two statements is that print merely shows something on the console, but return "gives something back" to whatever called it, which is often a variable. The variable is then assigned the value of the return statement in the function that it called. Here is an example in the python shell:
>>> def multiply(x,y):
return x*y
>>> multiply(2,3) #no variable assignment
6
>>> answer = multiply(2,3) #answer = whatever the function returns
>>> answer
6
So now the function has returned the result of calling the function to the place where it was called from, which is a variable called 'answer' in this case.
This does much more than simply printing the result, because you can then access it again. Here is an example of the function using return statements:
>>> x = int(input("Enter a number: "))
Enter a number: 5
>>> y = int(input("Enter another number: "))
Enter another number: 6
>>> answer = multiply(x,y)
>>> print("Your answer is {}".format(answer)
Your answer is 30
So it basically stores the result of calling a function in a variable.
def add(x, y):
return x+y
That way it can then become a variable.
sum = add(3, 5)
print(sum)
But if the 'add' function print the output 'sum' would then be None as action would have already taken place after it being assigned.
Unfortunately, there is a character limit so this will be in many parts. First thing to note is that return and print are statements, not functions, but that is just semantics.
I’ll start with a basic explanation. print just shows the human user a string representing what is going on inside the computer. The computer cannot make use of that printing. return is how a function gives back a value. This value is often unseen by the human user, but it can be used by the computer in further functions.
On a more expansive note, print will not in any way affect a function. It is simply there for the human user’s benefit. It is very useful for understanding how a program works and can be used in debugging to check various values in a program without interrupting the program.
return is the main way that a function returns a value. All functions will return a value, and if there is no return statement (or yield but don’t worry about that yet), it will return None. The value that is returned by a function can then be further used as an argument passed to another function, stored as a variable, or just printed for the benefit of the human user.
Consider these two programs:
def function_that_prints():
print "I printed"
def function_that_returns():
return "I returned"
f1 = function_that_prints()
f2 = function_that_returns()
print "Now let us see what the values of f1 and f2 are"
print f1 --->None
print f2---->"I returned"
When function_that_prints ran, it automatically printed to the console "I printed". However, the value stored in f1 is None because that function had no return statement.
When function_that_returns ran, it did not print anything to the console. However, it did return a value, and that value was stored in f2. When we printed f2 at the end of the code, we saw "I returned"
The below examples might help understand:
def add_nums1(x,y):
print(x+y)
def add_nums2(x,y):
return x+y
#----Function output is usable for further processing
add_nums2(10,20)/2
15.0
#----Function output can't be used further (gives TypeError)
add_nums1(10,20)/2
30
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-124-e11302d7195e> in <module>
----> 1 add_nums1(10,20)/2
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

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