Python | Find groups of strictly increasing numbers in a list

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Using loops in Python automates and repeats tasks efficiently. But sometimes a condition may arise where you want to exit the loop completely, skip the iteration, or ignore this condition. This can be done using loop control statements. Loop control statements change execution from its normal sequence. When execution leaves a scope, all automatic objects created in that scope are destroyed. Python supports the following control statements.

  • Break statement
  • Complete statement
  • This article will focus on the difference between continue and pass .

    Continue statement

    This statement is used to skip part of the loop execution under a certain condition. After that, it transfers control to the beginning of the cycle. Essentially, it skips its next statements and continues the next iteration of the loop.

    Syntax:

     continue 

    Pass Statement

    As the name suggests, the pass statement simply does nothing. We use the pass statement to write empty loops. Pass is also used for empty control statements, functions and classes.

    Syntax :

     pass 

    Difference between continuation and passing

    Consider the example below to better understand the difference between continue and pass.

    Example :

    # Python program to demonstrate
    # difference between pass and
    # continue statements

     

    s = "geeks"

     
    # Skip statement

    for i in s:

    if i = = ` k` :

    print ( ` Pass executed` )

    pass

    print (i)

     

    print ()

      
    # Continue approval

    for i in s:

      if i = = `k` :

      print ( `Continue executed` )

      continue

    print (i)

    Exit:

     gee Pass executed ksgee Continue executed s 

    In the above example, when the value of i becomes “ k “, the pass statement did nothing and hence the letter “ k “. Whereas, in the case of a continue statement, the continue statement transfers control to the beginning of the loop, so the letter k is not printed.

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