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Loops in python

For Loop in Python programming language:

The for loop in Python is a powerful iteration construct used to execute a block of code repeatedly over a sequence (such as a list, tuple, string, or range). It simplifies iteration and provides an elegant way to process elements within a collection or perform a specific action a predetermined number of times.Elaborate explanation of the code for this section can be read from the For Loop in Python tutorial.

While Loops in Python programming language:

The while loop in Python allows executing a block of code repeatedly as long as a given condition remains True. It is useful for situations where the number of iterations is not known beforehand and depends on dynamically changing conditions.Refer to an elaborate tutorial on While Loops to read about the code sample of this section in detail.

For...else Loop in Python:

The for...else loop in Python allows specifying an else block to execute when the for loop completes all iterations without encountering a break statement. This construct provides a clean way to handle situations when a loop completes normally.An elaborate explanation of the code samples for this section are given in an comprehensive tutorial on For...else Loop.

While...else Loop in Python:

The while...else loop in Python is similar to the for...else loop but used with while loops. It executes the else block when the while loop condition becomes False, meaning that the loop terminated normally without encountering a break statement.The all inclusive tutorial on While...else Loop explains the code sample given above for this section elaborately.

Do...while Imitation in Python:

Python does not have a built-in do...while loop, but it can be emulated using the while loop with a post-check condition. The loop will execute the block at least once, and the condition is checked at the end of each iteration.The elaborate tutorial on Do...while Imitation in Python gives a better understanding of the code samples for this section.

Break Statement in Python programming language:

The break statement in Python allows prematurely exiting a loop when a specific condition is met. It provides a way to terminate loop execution immediately without completing all remaining iterations.The tutorial Break Statement in Python explains the code sample given above for this section in detail.

Continue Statement in Python programming language:

The continue statement in Python allows skipping the current iteration and moving to the next one within a loop. It is useful when certain conditions require skipping specific loop iterations while continuing the loop execution.Refer to the tutorial on Continue Statement to read about the code sample of this section in detail.

Pass Statement in Python programming language:

The pass statement in Python is a no-operation (NOP) statement that does nothing. It serves as a placeholder for syntactically required statements that have no intended functionality. It is often used in the early stages of code development or as a placeholder for future implementations.A detailed explanation of the code samples for this section are included in the tutorial on Pass Statement.

Enumerate Function in Python programming language:

The enumerate() function in Python simplifies the process of iterating over an iterable (e.g., list, tuple) while keeping track of the current index and the corresponding element. It returns an iterator yielding tuples containing the index and the element, making it easier to handle indexed data within loops.The tutorial on Enumerate Function in Python gives a better understanding of the code samples for this section.