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Python Loops (for, while) Exercises


Python Loops (for, while) Practice Questions

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Which of the following is the correct syntax of a for loop in Python?


  • In Python, a for loop uses the in keyword and usually works with an iterable (like a list, tuple, string, or range).
  • The correct syntax is:
for variable in iterable:
    # loop body
  • Option 2 is correct: for i in range(0,5) iterates from 0 to 4.
  • Option 1 looks like C/Java syntax (not valid in Python).
  • Option 3 uses incorrect to keyword (Python doesn’t have it).
  • Option 4 uses foreach, which exists in other languages like PHP, but not in Python.

This tests whether learners can identify the basic correct syntax of a Python for loop.

Quick Recap of Python Loops (for, while) Concepts

If you are not clear on the concepts of Loops (for, while), you can quickly review them here before practicing the exercises. This recap highlights the essential points and logic to help you solve problems confidently.

Python Loops — for & while

Loops allow us to repeat a block of code multiple times instead of writing the same statements manually. They are essential for automation, data processing, and working with sequences.

Types of Loops in Python

Loop TypeWhen It RunsIdeal Use Case
for loopRuns once for every item in a sequenceWhen the number of repetitions is known or based on iterable items
while loopRuns repeatedly as long as a condition remains trueWhen repetitions depend on a condition rather than a sequence

Python for Loop at a Glance

fruits = ["apple", "banana", "mango"]
for fruit in fruits:
    print(fruit)

Key idea: Iterates over items in order — simple and predictable.

Python while Loop at a Glance

count = 1
while count <= 3:
    print(count)
    count += 1

Key idea: Repeats until a condition becomes false.

Important: A while loop can become infinite if the condition never turns false.

Nested Loops in Python

A loop can be placed inside another loop. Example uses: printing patterns, 2D lists, repeated combinations.

TypeExample
for inside forBest for 2D structured data
while inside forRepetition with conditions per sequence item
Mixed (for + while)Flexible for complex logic

Loop Control Statements in Python

Flow modifiers let you control the behavior of loops:

StatementEffect
breakExits the loop immediately
continueSkips to the next iteration
else with loopRuns only if the loop finishes without break
passDoes nothing — placeholder for future logic

Choosing the Right Loop in Python

ScenarioBest Choice
You are working through items in a list, tuple, string, dict or rangefor loop
You don’t know how many repetitions until a condition happenswhile loop
Need multiple levels of iterationNested loops
Want to exit early based on a conditionUse break
Want to skip specific data pointsUse continue

Quick Notes

  • Loops reduce repetition and improve program structure.
  • Always ensure while loops have a stopping condition.
  • Use break and continue only when they improve readability.
  • Nested loops are powerful but can reduce performance if overused.



About This Exercise: Python Loops Exercises – For and While Loops

Welcome to Solviyo’s Python Loops exercises, where you will learn how to use for and while loops effectively in Python programming. Loops are essential for repeating tasks, processing collections of data, and writing efficient code. These exercises are designed to help you master loops from basic iterations to more advanced real-world applications.

What You Will Learn

In this set of Python Loops exercises, you will explore:

  • Using for loops to iterate over sequences like lists, strings, tuples, and dictionaries.
  • Working with while loops to execute actions as long as a condition is true.
  • Applying conditions inside loops to control the flow of execution.
  • Using break and continue to manage loop behavior effectively.
  • Working with nested loops to solve more complex problems.
  • Applying loops to real-world scenarios such as data processing, pattern generation, and user input handling.
  • Writing clean, efficient, and maintainable code using loops.

Why Learning Python Loops Matters

Loops are one of the most fundamental concepts in Python programming. Mastering loops allows you to automate repetitive tasks, handle large data efficiently, and implement logical solutions to complex problems. Understanding when and how to use for and while loops will also prepare you for advanced Python topics and technical interviews.

Start Practicing Python Loops Today

By working through these exercises, you will gain confidence in using Python loops for a variety of tasks. Each exercise includes detailed explanations so you can learn from mistakes and improve your coding style. Start practicing Python Loops exercises now and build a solid foundation that will make tackling more complex Python programming challenges much easier.