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Post: Learn about programming Loops in Python

Lesson Plan: Introduction to Loops in Python


Objective:

To provide a clear understanding of how to use loops in Python, including for and while loops, as well as related concepts like break, continue, and the else clause.


1. What are Loops? – Learn about programming Loops in Python

Similarly, loops are utilized to execute a block of code repeatedly, whether as long as a condition is true or while iterating over a sequence of items.


2. The for Loop – Learn about programming Loops in Python

Definition:

The for loop iterates over a sequence (e.g., list, tuple, string) and executes the block of code for each element.

Examples:

Iterating through a list:

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Using range() to create a sequence:

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3. The while Loop – Learn about programming Loops in Python

Definition:

The while loop executes as long as the condition remains true.

Example:

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4. break and continue Statements

break:

Used to exit the loop immediately.

continue:

Skips the current iteration and proceeds to the next iteration.

Examples:

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5. else Clause with Loops

The else block in a loop is executed after the loop ends unless the loop is terminated with break.

Examples:

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6. Final Assignment – Learn about programming Loops in Python

Problem Statement: Given the list numbers, loop through and print all even numbers in the same order until the number 237 is encountered. Stop processing further once 237 is reached.

Starter Code:

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Answer Key:

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7. Assignment Extensions

  • Modify the code to count the total even numbers printed.
  • Alternatively, you can choose to print odd numbers instead of even numbers.

Lesson Overview: Loops in Python

This lesson covered the fundamental concepts of loops in Python, focusing on their purpose, types, and behavior. Loops are essential tools in programming, used to execute a block of code repeatedly under specified conditions. Python offers two main types of loops: for loops and while loops, each suited to different use cases.


1. The for Loop

The for loop is specifically designed to iterate over a sequence, such as a list, string, or range of numbers. Moreover, it is particularly useful when the number of iterations is predetermined. For example, this is especially relevant when iterating through a specific list of items. Additionally, by using the range() function, a for loop can iterate over a sequence of numbers while optionally specifying start, stop, and step values. Consequently, this loop simplifies working with collections or predictable ranges of data, making it a versatile tool in programming.


2. The while Loop

The while loop runs as long as a given condition remains true. Unlike the for loop, the number of iterations is not predetermined but instead depends on a condition. This makes the while loop ideal for scenarios where repetition depends on a dynamically changing state.


3. Special Statements: break and continue

The break statement allows for an immediate exit from a loop, halting further iterations even if the loop’s condition remains true. This is useful for stopping the loop once a specific condition is met.

The continue statement skips the current iteration of a loop and proceeds to the next one. Moreover, this is often used to bypass certain conditions; as a result, it ensures that the overall loop process continues smoothly.


4. The else Clause in Loops

Python allows an else clause to be used with both for and while loops. The code within the else block is executed when the loop finishes normally, meaning without encountering a break statement. This unique feature distinguishes Python from many other programming languages.


5. Practical Exercise

The lesson included an exercise to apply these concepts. Moreover, learners were tasked with filtering even numbers from a list, after which they were instructed to stop at a specific value; finally, they disregarded any additional elements. This reinforced understanding of loop control, conditions, and the importance of logical flow in programming.


Conclusion

By mastering loops, you gain the ability to handle repetitive tasks efficiently, making them an indispensable part of Python programming. The lesson introduced the mechanics of for and while loops, along with enhancements like break, continue, and the else clause, enabling learners to write concise and logical code for a variety of scenarios.

About the Author: Bernard Aybout (Virii8)

Avatar of Bernard Aybout (Virii8)
I am a dedicated technology enthusiast with over 45 years of life experience, passionate about computers, AI, emerging technologies, and their real-world impact. As the founder of my personal blog, MiltonMarketing.com, I explore how AI, health tech, engineering, finance, and other advanced fields leverage innovation—not as a replacement for human expertise, but as a tool to enhance it. My focus is on bridging the gap between cutting-edge technology and practical applications, ensuring ethical, responsible, and transformative use across industries. MiltonMarketing.com is more than just a tech blog—it's a growing platform for expert insights. We welcome qualified writers and industry professionals from IT, AI, healthcare, engineering, HVAC, automotive, finance, and beyond to contribute their knowledge. If you have expertise to share in how AI and technology shape industries while complementing human skills, join us in driving meaningful conversations about the future of innovation. 🚀