313
votes

Is there any significant difference between the two python keywords continue and pass like in the examples

for element in some_list:
    if not element:
        pass

and

for element in some_list:
    if not element:
        continue

I should be aware of?

12
@S.Lott: The example: while True:; pass # Busy-wait for keyboard interrupt (Ctrl+C) in the python docs confused me in the way, that I didn't find it clear weather it behaves equivalent to continue in this case or something else was intended. The first sentence "The pass statement does nothing." characterizes all the answers to my question, but somehow it didn't catch my eye.Aufwind

12 Answers

442
votes

Yes, they do completely different things. pass simply does nothing, while continue goes on with the next loop iteration. In your example, the difference would become apparent if you added another statement after the if: After executing pass, this further statement would be executed. After continue, it wouldn't.

>>> a = [0, 1, 2]
>>> for element in a:
...     if not element:
...         pass
...     print element
... 
0
1
2
>>> for element in a:
...     if not element:
...         continue
...     print element
... 
1
2
97
votes

Yes, there is a difference. continue forces the loop to start at the next iteration while pass means "there is no code to execute here" and will continue through the remainder or the loop body.

Run these and see the difference:

for element in some_list:
    if not element:
        pass
    print 1 # will print after pass

for element in some_list:
   if not element:
       continue
   print 1 # will not print after continue
29
votes

continue will jump back to the top of the loop. pass will continue processing.

if pass is at the end for the loop, the difference is negligible as the flow would just back to the top of the loop anyway.

13
votes

In your example, there will be no difference, since both statements appear at the end of the loop. pass is simply a placeholder, in that it does nothing (it passes execution to the next statement). continue, on the other hand, has a definite purpose: it tells the loop to continue as if it had just restarted.

for element in some_list:
    if not element:
        pass
    print element  

is very different from

for element in some_list:
    if not element:
        continue
    print element
11
votes

Difference between pass and continue in a for loop:

So why pass in python?

If you want to create a empty class, method or block.

Examples:

class MyException(Exception):
    pass


try:
   1/0
 except:
   pass

without 'pass' in the above examples will throw IndentationError.

9
votes

There is a difference between them,
continue skips the loop's current iteration and executes the next iteration.
pass does nothing. It’s an empty statement placeholder.
I would rather give you an example, which will clarify this more better.

>>> for element in some_list:
...     if element == 1:
...         print "Pass executed"
...         pass
...     print element
... 
0
Pass executed
1
2

>>> for element in some_list:
...     if element == 1:
...         print "Continue executed"
...         continue
...     print element
... 
0
Continue executed
2
6
votes

Yes, there is a difference. Continue actually skips the rest of the current iteration of the loop (returning to the beginning). Pass is a blank statement that does nothing.

See the python docs

3
votes

In those examples, no. If the statement is not the very last in the loop then they have very different effects.

2
votes
x = [1,2,3,4] 
for i in x:
    if i==2:
         pass  #Pass actually does nothing. It continues to execute statements below it.
         print "This statement is from pass."
for i in x:
    if i==2:
         continue #Continue gets back to top of the loop.And statements below continue are executed.
         print "This statement is from continue."

The output is

>>> This statement is from pass.

Again, let run same code with minor changes.

x = [1,2,3,4]
for i in x:
    if i==2:
       pass  #Pass actually does nothing. It continues to execute statements below it.
    print "This statement is from pass."
for i in x:
    if i==2:
        continue #Continue gets back to top of the loop.And statements below continue are executed.
    print "This statement is from continue."

The output is -

>>> This statement is from pass.
This statement is from pass.
This statement is from pass.
This statement is from pass.
This statement is from continue.
This statement is from continue.
This statement is from continue.

Pass doesn't do anything. Computation is unaffected. But continue gets back to top of the loop to procced with next computation.

1
votes

Consider it this way:

Pass: Python works purely on indentation! There are no empty curly braces, unlike other languages.

So, if you want to do nothing in case a condition is true there is no option other than pass.

Continue: This is useful only in case of loops. In case, for a range of values, you don't want to execute the remaining statements of the loop after that condition is true for that particular pass, then you will have to use continue.

0
votes

pass could be used in scenarios when you need some empty functions, classes or loops for future implementations, and there's no requirement of executing any code.
continue is used in scenarios when no when some condition has met within a loop and you need to skip the current iteration and move to the next one.

0
votes

pass just continues the loop or the condition. It doesn't do anything. continue, though is used to skip the current iteration, and get to the next iteration.

You may ask, why is pass used at all if not needed? Consider the following case:

text = "I am a coder."

if text == "I am not a coder.":
    print("Programming is interesting! You should try it out!")
elif text == "I am a coder.":
    pass

pass is just a syntactical placeholder used to fill up some space. If you don't want to do anything if a particular condition checks out, you can use pass as a placeholder. You cannot just write an empty condition, loop or function in Python.