Contenuti del Corso

Introduction to Python (copy)

1. Getting Started

First Steps Comments Simple Math: Add & Subtract Simple Math: Multiply & Divide Recap

2. Variables and Types

Data Types Storing Data in Variables Variable Naming Rules Using Variables String Indexing and Length String Slicing and Concatenation Challenge: Inventory Sorting Capstone Recap

3. Conditional Statements

Boolean Data Type Combining Conditions Challenge: Boolean Logic Membership Operators and Type Comparisons Conditional Expressions Challenge: Product Management Capstone Recap

4. Other Data Types

Lists and List Methods Nested Lists Challenge: List Management Tuples and Tuple Methods Tuple Operations Challenge: Tuple Operations Dictionaries and Dictionary Methods Challenge: Pricing Adjustment Capstone Recap

5. Loops

For Loops While Loops Range Function Iterating Over Indexes Challenge: Sales and Shipments Nested Loops Challenge: Automating Stock Control Challenge: Solo Coding Capstone Recap

6. Functions

Built-in Functions Challenge: Zip and Sort Functions User Defined Functions List Behavior in Functions Functions with no Return Modifying Functions Challenge: Product Revenues Capstone Recap

Recap

Congratulations on completing the final section of this Python course! You've gained valuable insights into how functions operate and how they can be applied to real-world scenarios, such as managing grocery store operations.

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

Built-in Functions

You've explored several essential built-in functions in Python, such as sum(), max(), min(), float(), int(), sorted(), and zip(). These functions simplify common tasks, like calculating totals or converting data types:


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# Using sum() to calculate the total cost
prices = [2.99, 1.99, 3.49, 2.50]
total_cost = sum(prices)
print(f"Total cost: ${total_cost}")

User Defined Functions

You've learned how to create your own functions to encapsulate and reuse logic, such as calculating inventory restocks. This skill is vital for organizing and streamlining code in more complex programs:


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# Defining a function to calculate restocking needs
def restock_quantity(current_stock, desired_stock):
    restock_qty = desired_stock - current_stock
    return max(restock_qty, 0)

restock_needed = restock_quantity(10, 25)
print(f"Restock needed: {restock_needed} units")

Functions with no Return

You've explored functions that perform actions without returning values, such as updating data structures or printing results directly. This type of function is useful when you want to modify existing data or provide immediate feedback to the user:


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# Function to update inventory without returning a value
def update_inventory(inventory, items_sold):
    for product, quantity in items_sold.items():
        inventory[product] -= quantity
        print(f"Updated {product} stock: {inventory[product]} units")

inventory = {"Milk": 50, "Bread": 30}
items_sold = {"Milk": 5, "Bread": 10}
update_inventory(inventory, items_sold)

Default Arguments and Keywords

You've learned advanced techniques for modifying functions, such as using default arguments and parameter keywords. These techniques make your functions more flexible and adaptable to different scenarios:


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def calculate_final_cost(items, tax_rate=0.07):
    subtotal = sum(items.values())
    tax = subtotal * tax_rate
    total = subtotal + tax
    return total

products = {"Milk": 2.99, "Bread": 1.79, "Eggs": 3.49}

# Passing a dictionary as a single argument
final_total = calculate_final_cost(products)
print(f"Final total with tax: ${final_total}")

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Sezione 6. Capitolo 8

Introduction to Python (copy)

Recap

Built-in Functions

User Defined Functions

Functions with no Return

Default Arguments and Keywords

1. Which of the following built-in functions would you use to find the smallest value in a list of product prices?

2. What happens if you define a function without a `return` statement and then call that function?

3. Is the following statement true: calling `calculate_discount(100)` will result in an error because only one argument was provided, while the function requires two?

4. If you call the following function without specifying the `discount` parameter, what will be the default value of `discount`?

Introduction to Python (copy)

Recap

Built-in Functions

User Defined Functions

Functions with no Return

Default Arguments and Keywords

1. Which of the following built-in functions would you use to find the smallest value in a list of product prices?

2. What happens if you define a function without a return statement and then call that function?

3. Is the following statement true: calling calculate_discount(100) will result in an error because only one argument was provided, while the function requires two?

4. If you call the following function without specifying the discount parameter, what will be the default value of discount?

2. What happens if you define a function without a `return` statement and then call that function?

3. Is the following statement true: calling `calculate_discount(100)` will result in an error because only one argument was provided, while the function requires two?

4. If you call the following function without specifying the `discount` parameter, what will be the default value of `discount`?