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When the loop hits a continue_condition, then the continue assertion resumes the loop without functioning the remainder of the statements from the loop’s code block:

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Python also gives a set info framework. Sets are unordered and mutable collections of arbitrary but hashable Python objects. It is possible to generate sets in various means. Here's two of these:

In the event the loop procedures the final range while in the tuple, the circulation of execution jumps in to the else clause and prints The loop wasn't interrupted in your monitor.

These three procedures are essential applications In terms of manipulating dictionaries in Python, particularly when you’re iterating via a dictionary.

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