Recap

Congratulations on completing this extensive journey learning about Python loops! You've acquired valuable skills that will aid in everything from managing grocery store inventories to automating daily tasks.

Here’s a brief recap of what you’ve learned:

`for` Loops

You've mastered the syntax and applications of for loops, learning to iterate over collections like lists and dictionaries efficiently. This skill is crucial for tasks such as inventory checks and updating stock levels:


              1234
            
# Example: Iterating over a dictionary
product_stock = {"milk": 120, "eggs": 200}
for product, stock in product_stock.items():
    print(f"{product} has {stock} units in stock.")

`while` Loops

We explored the setup and utility of while loops for situations where the duration of looping isn't predetermined, such as continuously monitoring stock until a certain condition is met:


              12345
            
# Example: Monitoring stock levels
milk_stock = 50
while milk_stock > 0:
    print(f"Milk stock: {milk_stock}")
    milk_stock -= 10  # Decrementing stock

Leveraging the `range()` Function

You learned to use the range() function for generating sequences of numbers, which is especially useful in loops for repetitive tasks. We covered its three forms: starting from zero, defining a start and stop, and specifying a step:


              123
            
# Example: Using range for scheduling
for day in range(1, 8):  # From day 1 to day 7
    print(f"Schedule for day {day}")

Iterating Over Indexes

Iterating over indexes using range() and len() has been crucial for accessing and manipulating list elements directly by their indexes, ensuring precision in tasks such as price adjustments or stock updates:


              123456
            
# Example: Modifying list elements
prices = [1.99, 2.49, 1.59]
for i in range(len(prices)):
    prices[i] *= 0.9  # Apply a 10% discount

print(prices)

Mastering Nested Loops

We delved into nested loops, showing how you can use one loop inside another to handle multi-dimensional data structures, such as lists of lists, which mimic real-world scenarios like managing different departments in a store:


              12345
            
# Example: Nested loop for inventory management
department_stocks = [["Apples", "Bananas"], ["Milk", "Cheese"]]
for department in department_stocks:
    for item in department:
        print(item)

Tudo estava claro?

Seção 5. Capítulo 9