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Python Loops (for, while) Exercises


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You’re learning how to repeat actions in Python using loops. Python provides both for and while loops to help perform repetitive tasks, such as iterating over a list or running a block of code until a condition is met.
Consider the following scenario:
numbers = [3, 6, 9]
for num in numbers:
    print(num * 2)
What does this code demonstrate about how loops work in Python?

Python’s for loop is designed to iterate over any iterable object, including lists, strings, tuples, sets, and dictionaries.

In this example:

numbers = [3, 6, 9]
for num in numbers:
    print(num * 2)

The for loop goes through each value in the list numbers and prints double its value.
This highlights the readability and flexibility of Python loops — you don’t need to manage indices manually unless necessary.

Unlike some other languages, Python’s for loop is not limited to ranges and is often used for direct iteration over collections.



About This Exercise: Python – Loops (for, while)

Welcome to the Python Loops exercises — a targeted set of coding problems designed to help you master repetitive logic using Python's for and while loops. These exercises are perfect whether you're just starting out with loops or looking to deepen your understanding of iteration in real programming scenarios. This section is a key step in building solid programming logic and algorithmic thinking.

Loops are a fundamental part of Python and are essential for performing repetitive tasks, iterating over sequences, and managing flow control in automation scripts, data processing, and algorithmic problem-solving. In this section, you’ll explore both for loops — ideal for iterating over collections like lists, tuples, and strings — and while loops — which give you greater control when the number of iterations isn’t known in advance.

These exercises will help you understand when to use each loop type and how to avoid common mistakes such as infinite loops, off-by-one errors, or unnecessary complexity. You’ll practice using loop control statements like break, continue, and else clauses, and learn how to write efficient loops that are both readable and performant.

Every exercise is crafted to simulate real-world coding challenges, from basic iterations to nested loops, and even loop-based logic used in data analysis or web scraping tasks. By working through them, you'll become comfortable writing and debugging loops that form the backbone of many Python scripts and applications.

As you progress, be sure to explore related topics like conditionals, functions, and data structures, all of which interact closely with loop constructs. And don’t forget to take our interactive quizzes on Python loops to reinforce your learning and identify areas for improvement.

Dive into the Python Loops exercises now to strengthen your command over repetitive logic. With consistent practice, you’ll gain the confidence to tackle any iteration-based problem efficiently, whether you're working on automation, data science, or core software development.