Think about how you would write “I will not talk in class” 100 times on a whiteboard if you were a teacher. Writing it by hand is exhausting and slow. In programming, loops in python act like a robot that does the writing for you.
Loops are basic programming tools that automate processes that need to be done over and over again. This makes your code shorter, cleaner, and much more efficient. Loops are what make things happen, whether you’re counting numbers, going through a list of students, or keeping a game going until the player loses.
We will talk about what loops are in Python and how to utilise them well with clear examples in this article.
What do you mean by Loops in Python?
In the simplest terms, a loop in Python is a control flow statement that lets code run again and over again as long as a certain condition is met. You don’t have to write the same line ten times. Instead, you write it once in a loop and tell Python how many times to run it.
Why Do We Use Loops?
- Efficiency: It takes care of monotonous, repetitive duties on its own.
- Organisation: Makes your script short and easy to read.
- Dynamic Data: Lets you work with lists of data where you don’t know how many items there are ahead of time.
The For Loops in Python: Iterating Over Sequences
The for loop is the loop that you will use the most often. It is meant to go through a “sequence,” such as a list, a string, or a range of numbers, and run code for each item in that sequence. This is one of the greatest loops in python for beginners since you can easily guess when it will start and stop.
How it Works:
- Python checks the first thing on the list.
- It uses that object to run the code inside the loop.
- It goes to the next item and does the same thing until the list is done.
Example:
Python
fruits = [“apple”, “banana”, “cherry”]
for x in fruits:
print(x)
Output: apple
banana
cherry
The While Loops in Python: Condition-Based Repetition
A for loop runs for a set number of items, while a while loop runs as long as a certain condition is true. This is helpful when you don’t know how many times you need to do something, like asking a user for their password over and over until they get it correctly.
The Risk of Infinite Loops
When you use loops in Python, you need to make sure that the condition will eventually be False. Your program will never stop if the condition is always true. This is what a “infinite loop” is.
Example:
Python
count = 1
while count <= 3:
print(“Count is:”, count)
count += 1 # This line is vital to eventually stop the loop
Output:
Count is: 1
Count is: 2
Count is: 3
Nested Loops in Python: A Loop Within a Loop
A nested loop is simply a loop placed inside another loop. For every single “round” of the outer loop, the inner loop runs its entire cycle. These are often used for working with grids (like rows and columns) or complex loops in python examples.
Visualising Nested Loops:
Think of a clock. The “Hour” hand is the outer loop, and the “Minute” hand is the inner loop. The minute hand must go around 60 times before the hour hand moves just once.
Example:
Python
for i in range(2): # Outer loop
for j in range(3): # Inner loop
print(f”Outer: {i}, Inner: {j}“)
Comparison: For Loop vs While Loop in Python
This table compares for loops vs while loops in Python by showing when to use each, what they require, and the situations where they work best.
| Feature | For Loop | While Loop |
| Usage | Known number of iterations. | Unknown number of iterations. |
| Requirement | Needs an “iterable” (list, range). | Needs a “boolean condition.” |
| Control | Automatically moves to the next item. | Requires manual updates (like i += 1). |
| Best For | Lists, Strings, Dictionaries. | User input, Game loops, Sensors. |
How to control Loops in Python: Break and Continue?
You might wish to change how a loop works while it’s running.
- Break: This stops the loop right away, even if it hasn’t finished yet. Helpful if you found what you were seeking for and want to leave early.
- Continue: Skips the rest of the code in the current round and goes right to the next one. You can use this to bypass certain things, like even numbers.
Loops in Python FAQs
- What is the fundamental difference between loops that run for a certain amount of time and loops that run until a certain condition is met?
You use a for loop when you know how many times to do something, like going through a list. You use a while loop when you want to keep going until something changes, as when you get a “Stop” command.
- Is it possible to insert a while loop inside a for loop?
Yes! This is a kind of loop inside a loop. You can use any combination of loops in Python to make your program work the way you want it to.
- What happens if I forget to add to the variable in a while loop?
The loop will keep going as long as the condition (like count < 5) stays the same. This will probably make your program stop working or crash.
- How do I loop through a string?
Since a string is a sequence of characters, you can use a for loop: for letter in “Python”: print(letter). This will print each letter on a new line.
- Which loop is faster in Python?
In general, for loops are slightly faster and more “Pythonic” when iterating over sequences because Python handles the internal counting logic more efficiently.
Topics Related To Python
🔹 Python Introduction & Fundamentals |
🔹 Functions & Lambda |
🔹 Python for Machine Learning |
🔹 Python for Web Development |
🔹 Python Automation & Scripting |
🔹 Comparisons & Differences |
🔹 Other / Unclassified Python Topics |
| Asyncio – A Guide |