Loops are essential tools for repetitive tasks in Python, but deciding whether to use a `for` loop or a `while` loop depends on the nature of the task. Both have unique strengths that suit different scenarios.

#### **When to Use `for` Loops**
A `for` loop is ideal when you know the exact number of iterations or are iterating through a sequence like a list, tuple, string, or range.

#### Iterating Over Sequences:
When you need to process each element in a list, tuple, or string.

travel_list = ["Monako", "Luxemburg", "Liverpool", "Barcelona", "Munchen"]
for city in travel_list:
    print(city)

#### Fixed Number of Iterations:
When the number of iterations is predetermined.

for i in range(5):
    print(f"Trip {i + 1}")

#### Simpler Syntax:
When you want concise and readable code for standard iteration tasks.

### When to Use `while` Loops
A `while` loop is better suited for situations where the number of iterations is unknown in advance, and the loop depends on a condition.

#### Condition-Based Iteration:
When you want the loop to continue until a specific condition is met.

budget = 1000
travel_costs = [300, 150, 200, 400, 100]
total_cost = 0
i = 0

while total_cost + travel_costs[i] <= budget:
    total_cost += travel_costs[i]
    print(f"Trip {i + 1} cost: ${travel_costs[i]}")
    i += 1

#### Infinite Loops with Exit Conditions:
When you need an ongoing process that stops based on a condition.
``` python
while True:
    city = input("Enter a city (or 'stop' to end): ")
    if city == "stop":
        break
    print(f"City added: {city}")
```


#### Dynamic Conditions:
When the number of iterations changes based on real-time logic.

### Comparison Between `for` and `while` Loops


### Key Takeaways
- Use **`for` loops** when you know the number of iterations or are working with a sequence;
- Use **`while` loops** when the stopping condition isn't fixed or depends on real-time logic;
- Always ensure loop conditions and increments are correctly set to avoid infinite loops.

By choosing the right loop for the right task, you can make your code more efficient, readable, and easy to debug.

Modify the code to stop the loop prematurely when a single trip exceeds $400. Where should you add the `break` statement?

Build confidence in mastering Python loops! Start with the basics of for and while loops and progress to advanced concepts like nested loops, control statements, and dynamic conditions. With hands-on practice and real-world examples, gain the skills to write efficient, clean, and powerful code. Perfect for beginners and anyone looking to sharpen their Python expertise!

Master how to iterate through sequences with for loop, use range() effectively, explore conditions with if/else, and control loops with break and continue. Get ready to write efficient, clean, and practical code as you tackle fun challenges!

Get hands-on experience with the while loop! Learn how to handle conditions, avoid infinite loops, control flow with break and continue, and even combine else with your loops. Master when to use while loops effectively in real-world scenarios and sharpen your problem-solving skills!

Learn how to combine loops effectively, use if/else conditions, and master break and continue statements to control flow. By the end, you'll be able to solve complex problems with ease and precision.

Streamline your Python code with list and dictionary comprehensions! Learn how to create lists and dictionaries in a concise and elegant way while improving readability and performance. Master practical examples and discover how to simplify complex tasks, from filtering data to transforming it, all in a single line of code.

Python Loops Tutorial

Choosing Between for and while Loops in Python

When to Use `for` Loops

Iterating Over Sequences:

Fixed Number of Iterations:

Simpler Syntax:

When to Use `while` Loops

Condition-Based Iteration:

Infinite Loops with Exit Conditions:

Dynamic Conditions:

Comparison Between `for` and `while` Loops

Key Takeaways