Course Content

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

For Loops

Welcome to the section dedicated to loops!

In this chapter, we'll dive into how loops serve as a key tool for automating repetitive tasks and are essential for efficiently handling lists and other iterable data types.

Join Alex as he demonstrates the use of for loops to simplify operations in our grocery store:

The usage of for loops in Python allows you to execute a block of code repeatedly for each item in a collection (iterable object). Here's what you need to know about for loops:

Syntax

Initiate a for loop with the for keyword, followed by a variable name such as item to represent each element in the sequence. This is followed by the in keyword and then the iterable object such as groceryItems. The code block within the loop is executed once for each element.

In this example, item acts as the iterator variable that sequentially accesses each element in the groceryItems list and executes the print() function for each one:


              1234
            
groceryItems = ["milk", "eggs", "cheese", "butter"]
for item in groceryItems:
    # Code to be executed
    print(item)

Iteration refers to the process of executing a block of code repeatedly. Python supports two main types of iteration:

Definite Iteration

Where the number of iterations is known in advance. for loops are a classic example, automatically stopping when they reach the end of the sequence.

Indefinite Iteration

In which execution continues until a specific condition is met, typically handled by while loops, which will be explored in detail in the upcoming chapter.

Example Applications

for loops in Python can be used with any iterable object (lists, tuples, dictionaries, strings), allowing for data manipulation on a per-element basis.

Whether you need to access items in a list, keys or values in a dictionary, or characters in a string, for loops provide a clear syntax that simplifies code for repetitive tasks.

Here's how you can use a for loop to iterate over the elements in a string and a tuple, similar to how we saw with lists:


              123456789
            
# Print each letter in the string
vegetable = "Carrot"
for letter in vegetable:
    print(letter)

# Tuple containing different categories of the grocery store
categories = ("Produce", "Bakery", "Meat", "Dairy")
for category in categories:
    print(category)

When using a for loop with a dictionary, iterating directly over the dictionary will loop through its keys by default.

Here's what to expect when you directly iterate over a dictionary:


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print each dictionary key
print("Product list:")
for product in productStock:
    print(product)

Notice how the iterator variable product only accesses the dictionary keys.

To iterate over the values of a dictionary, you can use the values() method.

This is useful for operations that require access to values without needing to reference the keys:


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print each dictionary value
print("Stock counts:")
for stock in productStock.values():
    print(stock)

If you need to access the keys and values simultaneously, the items() method allows you to loop through key-value pairs in a dictionary.

To use this method in a for loop, we specify two variables before the in keyword — one for the key (product) and one for the value (stock):


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print both the key and value for each dictionary item
print("Inventory details:")
for product, stock in productStock.items():
    print(f"{product} has {stock} units in stock.")

Note

In this example, we use f-strings (also known as formatted string literals) to embed variables directly into strings. The syntax is simple: add an f before the opening quotation mark ", and place variables or expressions inside curly braces {} within the string. This method makes combining strings and variables in print statements much more readable, so it's worth learning.

Drawing on your knowledge of if/else, boolean operators, and for loops, we can run a simple inventory check on a dictionary:


              123456789101112131415161718
            
# Product names as keys and their stock levels as values
inventory = {
    "milk": 120,
    "eggs": 30,
    "bread": 80,
    "apples": 10
}

# The threshold stock level that triggers a restock
minimum_stock = 50

# Evaluating stock levels and deciding if restocking is necessary
print("Checking inventory status:")
for product, quantity in inventory.items():
    if quantity < minimum_stock:
        print(f"{product} requires restocking. Only {quantity} units remain.")
    else:
        print(f"{product} has adequate stock with {quantity} units available.")

Note

You may notice that we've placed if statements inside the for loop, which added extra indentation to the if block. As mentioned earlier, each indented block of code can be treated as independent, regardless of where it's placed. The key is to ensure that the indentation is consistent and correct between them.

Task

Swipe to start coding

Manage stock and promotions in a grocery store by looping through the inventory, checking restock conditions, and applying promotions.

Loop through each product in the inventory dictionary.
Inside the loop, get the current_stock and min_stock from the inventory list.
Use an if statement to check if current stock is less than or equal to minimum stock:
- If so, print a restocking message, increase the stock by 20, update the inventory, and print the update message.
Use another if statement to check if the product exists in the promotions dictionary.

Output Requirements

For each item, print:

--- Processing: <item> ---
If restocking is needed:
<item> needs restocking. Current stock: <current_stock>. Minimum required: <min_stock>

Updated stock for <item>: <updated_stock>
If promotion exists:
Promotion for <item>: <promotion_details>
If not:
No promotions for <item>

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 1

For Loops

Welcome to the section dedicated to loops!

In this chapter, we'll dive into how loops serve as a key tool for automating repetitive tasks and are essential for efficiently handling lists and other iterable data types.

Join Alex as he demonstrates the use of for loops to simplify operations in our grocery store:

The usage of for loops in Python allows you to execute a block of code repeatedly for each item in a collection (iterable object). Here's what you need to know about for loops:

Syntax

In this example, item acts as the iterator variable that sequentially accesses each element in the groceryItems list and executes the print() function for each one:


              1234
            
groceryItems = ["milk", "eggs", "cheese", "butter"]
for item in groceryItems:
    # Code to be executed
    print(item)

Iteration refers to the process of executing a block of code repeatedly. Python supports two main types of iteration:

Definite Iteration

Where the number of iterations is known in advance. for loops are a classic example, automatically stopping when they reach the end of the sequence.

Indefinite Iteration

In which execution continues until a specific condition is met, typically handled by while loops, which will be explored in detail in the upcoming chapter.

Example Applications

for loops in Python can be used with any iterable object (lists, tuples, dictionaries, strings), allowing for data manipulation on a per-element basis.

Whether you need to access items in a list, keys or values in a dictionary, or characters in a string, for loops provide a clear syntax that simplifies code for repetitive tasks.

Here's how you can use a for loop to iterate over the elements in a string and a tuple, similar to how we saw with lists:


              123456789
            
# Print each letter in the string
vegetable = "Carrot"
for letter in vegetable:
    print(letter)

# Tuple containing different categories of the grocery store
categories = ("Produce", "Bakery", "Meat", "Dairy")
for category in categories:
    print(category)

When using a for loop with a dictionary, iterating directly over the dictionary will loop through its keys by default.

Here's what to expect when you directly iterate over a dictionary:


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print each dictionary key
print("Product list:")
for product in productStock:
    print(product)

Notice how the iterator variable product only accesses the dictionary keys.

To iterate over the values of a dictionary, you can use the values() method.

This is useful for operations that require access to values without needing to reference the keys:


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print each dictionary value
print("Stock counts:")
for stock in productStock.values():
    print(stock)

If you need to access the keys and values simultaneously, the items() method allows you to loop through key-value pairs in a dictionary.

To use this method in a for loop, we specify two variables before the in keyword — one for the key (product) and one for the value (stock):


              1234567
            
# Dictionary of products and their stock counts
productStock = {"milk": 120, "eggs": 200, "bread": 80}

# Print both the key and value for each dictionary item
print("Inventory details:")
for product, stock in productStock.items():
    print(f"{product} has {stock} units in stock.")

Note

In this example, we use f-strings (also known as formatted string literals) to embed variables directly into strings. The syntax is simple: add an f before the opening quotation mark ", and place variables or expressions inside curly braces {} within the string. This method makes combining strings and variables in print statements much more readable, so it's worth learning.

Drawing on your knowledge of if/else, boolean operators, and for loops, we can run a simple inventory check on a dictionary:


              123456789101112131415161718
            
# Product names as keys and their stock levels as values
inventory = {
    "milk": 120,
    "eggs": 30,
    "bread": 80,
    "apples": 10
}

# The threshold stock level that triggers a restock
minimum_stock = 50

# Evaluating stock levels and deciding if restocking is necessary
print("Checking inventory status:")
for product, quantity in inventory.items():
    if quantity < minimum_stock:
        print(f"{product} requires restocking. Only {quantity} units remain.")
    else:
        print(f"{product} has adequate stock with {quantity} units available.")

Note

You may notice that we've placed if statements inside the for loop, which added extra indentation to the if block. As mentioned earlier, each indented block of code can be treated as independent, regardless of where it's placed. The key is to ensure that the indentation is consistent and correct between them.

Task

Swipe to start coding

Manage stock and promotions in a grocery store by looping through the inventory, checking restock conditions, and applying promotions.

Loop through each product in the inventory dictionary.
Inside the loop, get the current_stock and min_stock from the inventory list.
Use an if statement to check if current stock is less than or equal to minimum stock:
- If so, print a restocking message, increase the stock by 20, update the inventory, and print the update message.
Use another if statement to check if the product exists in the promotions dictionary.

Output Requirements

For each item, print:

--- Processing: <item> ---
If restocking is needed:
<item> needs restocking. Current stock: <current_stock>. Minimum required: <min_stock>

Updated stock for <item>: <updated_stock>
If promotion exists:
Promotion for <item>: <promotion_details>
If not:
No promotions for <item>

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 5. Chapter 1

Switch to desktop for real-world practiceContinue from where you are using one of the options below