Python Loops (for, while) Exercises


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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.



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

Loops are one of the most important building blocks in Python programming, and in this section on Solviyo, we focus entirely on them. Learning loops is essential because they allow us to repeat actions, handle collections of data, and reduce repetitive code. Without loops, many programming tasks would be inefficient or nearly impossible to manage. These exercises are designed to give you both the basics and the confidence to use loops in real situations.

We begin with for loops, which are perfect for going through sequences like lists, strings, tuples, or dictionaries. You’ll practice writing simple iterations, counting through ranges, and processing elements one by one. Then we move into while loops, which run as long as a condition remains true. These are especially useful when you don’t know in advance how many times an action needs to repeat. By practicing both, you’ll understand when to choose one over the other.

The exercises are structured in a way that starts simple and grows gradually. First, you’ll try tasks like printing sequences or summing numbers in a list. Then you’ll take on slightly more advanced problems, such as working with nested loops, applying conditions inside loops, and using break and continue to control the flow. As you progress, you’ll see how loops can solve pattern generation, data filtering, and algorithmic problems in a straightforward manner.

What makes these challenges valuable is that they’re inspired by real coding needs. For example, you might practice using loops to process user input, clean up data, or display structured results. These are the kinds of tasks you’ll face in coding interviews, coursework, and professional projects. By practicing them here, you’ll strengthen your problem-solving skills in a hands-on way rather than just memorizing theory.

At Solviyo, our goal is to make learning practical. That’s why each exercise comes with explanations that not only show the right answer but also highlight why it works. This ensures you can learn from mistakes, avoid common pitfalls, and steadily improve your coding style. We believe loops are not just about repetition—they are about building efficient and logical solutions.

Whether you’re just starting with Python or preparing for technical interviews, these loop exercises will sharpen your thinking and coding abilities. Consistent practice here will give you the confidence to handle both simple and complex tasks. Dive into the Python Loops exercises now and start building the kind of coding foundation that every programmer needs.