Dictionaries and Lists

SECTION 1: LESSON OVERVIEW

In this lesson, you'll learn how to store, organize, and use data with two super-useful Python tools: lists and dictionaries. These are the building blocks you'll use in real apps — from keeping track of users to storing product info and reading data from websites.

SECTION 2: WHAT YOU'LL LEARN (OBJECTIVES)

By the end, you will be able to:

Create and use lists to store ordered items.
Create and use dictionaries to store key-value pairs.
Add, change, and remove items in lists and dictionaries.
Loop through lists and dictionaries.
Combine them (lists of dictionaries and dictionaries of lists).
Do simple searching, filtering, and sorting.
Understand how web data (JSON) maps to lists and dictionaries.

SECTION 3: WHY THIS MATTERS (REAL-WORLD)

Social media apps store posts as lists and each post's details in dictionaries.
Online stores keep a product catalog as a list of dictionaries.
Most web APIs send data as JSON, which is basically lists and dictionaries in disguise.

SECTION 4: KEY VOCABULARY

List: An ordered collection of items, like a numbered shelf. Example: ["apple", "banana", "cherry"]
Index: The position of an item in a list (starts at 0).
Dictionary: A collection of key-value pairs, like labeled lockers. Example: {"name": "Alex", "age": 14}
Key: The label in a dictionary ("name", "age").
Value: The data stored for a key ("Alex", 14).
JSON: A common data format from the web that looks like Python dictionaries and lists.

SECTION 5: SETUP

Use Python 3.8 or later.
You can run code in IDLE, VS Code, Replit, or any online Python editor.

SECTION 6: PART 1 — WORKING WITH LISTS

6.1 Creating and Accessing Lists

Python code:

fruits = ["apple", "banana", "cherry"]
print(fruits)           # ['apple', 'banana', 'cherry']
print(fruits[0])        # 'apple' (first item)
print(fruits[-1])       # 'cherry' (last item)

6.2 Changing Items

Python code:

fruits[1] = "blueberry"
print(fruits)  # ['apple', 'blueberry', 'cherry']

6.3 Adding and Removing

Python code:

fruits.append("date")     # add to end
print(fruits)             # ['apple', 'blueberry', 'cherry', 'date']

fruits.insert(1, "banana")  # insert at index 1
print(fruits)               # ['apple', 'banana', 'blueberry', 'cherry', 'date']

removed = fruits.pop()    # removes and returns last item
print(removed)            # 'date'
print(fruits)             # ['apple', 'banana', 'blueberry', 'cherry']

fruits.remove("banana")   # remove by value (first match)
print(fruits)             # ['apple', 'blueberry', 'cherry']

6.4 Looping Through a List

Python code:

for fruit in fruits:
    print(fruit)

6.5 Useful List Functions

Python code:

numbers = [5, 2, 9, 1]
print(len(numbers))   # 4
print(min(numbers))   # 1
print(max(numbers))   # 9
numbers.sort()
print(numbers)        # [1, 2, 5, 9]
numbers.reverse()
print(numbers)        # [9, 5, 2, 1]

Quick Practice — Lists:

Create a list called colors with three colors.
Add one more color.
Change the second color.
Loop and print each color.

Try it yourself before checking the next sections!

SECTION 7: PART 2 — WORKING WITH DICTIONARIES

7.1 Creating and Accessing Dictionaries

Python code:

student = {"name": "Maya", "age": 14, "grade": 9}
print(student["name"])  # Maya
print(student["age"])   # 14

7.2 Adding and Updating

Python code:

student["club"] = "Robotics"     # add new key
student["age"] = 15              # update existing key
print(student)

7.3 Safe Access with get

Python code:

# get returns None (or a default) if the key is missing
print(student.get("email"))             # None
print(student.get("email", "not set"))  # 'not set'

7.4 Removing Items

Python code:

removed_grade = student.pop("grade")  # removes and returns value
print(removed_grade)                  # 9
print(student)

7.5 Looping Through a Dictionary

Python code:

# Loop keys
for key in student.keys():
    print("Key:", key)

# Loop values
for value in student.values():
    print("Value:", value)

# Loop key-value pairs
for key, value in student.items():
    print(key, "->", value)

7.6 Merging Dictionaries

Python code:

extra = {"email": "maya@example.com", "age": 16}
student.update(extra)  # update merges; later values override earlier ones
print(student)

Quick Practice — Dictionaries:

Make a dictionary book with keys: "title", "author", "pages".
Add a "year" key.
Update "pages" to a new number.
Print all keys and values using a loop.

SECTION 8: PART 3 — LISTS + DICTIONARIES TOGETHER

This is where things feel real. You'll often store many similar dictionaries inside a list.

8.1 Example: Product Catalog (List of Dictionaries)

Python code:

products = [
    {"id": 101, "name": "Keyboard", "price": 29.99, "in_stock": True},
    {"id": 102, "name": "Mouse", "price": 19.99, "in_stock": False},
    {"id": 103, "name": "Monitor", "price": 159.99, "in_stock": True},
]

# Print each product name and price
for item in products:
    print(item["name"], "-", "$", item["price"])

# Find a product by id
search_id = 102
found = None
for item in products:
    if item["id"] == search_id:
        found = item
        break
if found:
    print("Found:", found["name"])
else:
    print("Not found")

# Filter items in stock
in_stock_items = []
for item in products:
    if item["in_stock"]:
        in_stock_items.append(item)
print("In stock count:", len(in_stock_items))

8.2 Dictionary of Lists (Grouping)

Python code:

classes = {
    "math": ["Ava", "Ben", "Carlos"],
    "science": ["Dina", "Eli"],
}
classes["science"].append("Fatima")
print(classes["science"])  # ['Dina', 'Eli', 'Fatima']

SECTION 9: SEARCHING, FILTERING, AND SORTING

Python code:

# Filter products cheaper than $50
cheap = []
for p in products:
    if p["price"] < 50:
        cheap.append(p)
print([p["name"] for p in cheap])  # ['Keyboard', 'Mouse']

# Sort products by price (ascending)
products_sorted = sorted(products, key=lambda p: p["price"])
print([p["name"] for p in products_sorted])  # ['Mouse', 'Keyboard', 'Monitor']

SECTION 10: FROM THE WEB TO PYTHON: JSON

APIs on the web often send JSON. In Python, JSON turns into dictionaries and lists.

Python code:

import json

json_text = '''
{
    "city": "Springfield",
    "forecast": [
        {"day": "Mon", "high": 25},
        {"day": "Tue", "high": 28}
    ]
}
'''
data = json.loads(json_text)  # JSON string -> Python dict
print(data["city"])               # Springfield
print(data["forecast"][0]["day"]) # Mon

# Turn Python data back into JSON text
print(json.dumps(data, indent=2))

SECTION 11: COMMON MISTAKES AND QUICK FIXES

Using the wrong index
- Issue: fruits[3] when the list has only 3 items (last index is 2).
- Fix: Check len(fruits) and remember indexes start at 0.
KeyError in dictionaries
- Issue: print(student["email"]) when "email" doesn't exist.
- Fix: Use student.get("email", "not set") or add the key first.
Modifying while looping
- Issue: Removing items from a list while iterating can skip items.
- Fix: Build a new list or loop over a copy (for x in list_name[:]:).
Mixing data types
- Issue: Sorting a list that mixes numbers and strings may fail.
- Fix: Keep consistent data types in lists.

SECTION 12: GUIDED PRACTICE

12.1 Student Gradebook (List of Dictionaries)

Python code:

gradebook = [
    {"name": "Ava", "scores": [88, 92, 95]},
    {"name": "Ben", "scores": [75, 85, 79]},
    {"name": "Cara", "scores": [100, 98, 97]},
]

# Compute average for each student
for s in gradebook:
    total = sum(s["scores"])
    count = len(s["scores"])
    avg = total / count
    s["average"] = round(avg, 1)

# Print report
for s in gradebook:
    print(s["name"], "average:", s["average"])

# Find top student
top = None
for s in gradebook:
    if (top is None) or (s["average"] > top["average"]):
        top = s
print("Top student:", top["name"], "-", top["average"])

Expected output (approx):

Ava average: 91.7
Ben average: 79.7
Cara average: 98.3
Top student: Cara - 98.3

SECTION 13: MINI PROJECT — SCHOOL CLUB MANAGER

Goal: Manage members, track their roles, and show simple reports using lists and dictionaries.

Requirements:

Store each member as a dictionary with keys: "id", "name", "role", and "hours".
Keep all members in a list.
Add a new member.
Update hours for a member by id.
Print a report of all members.
Show total hours and the member with the most hours.

Starter Code:

Python code:

# 1) Initial data
members = [
    {"id": 1, "name": "Maya", "role": "President", "hours": 5},
    {"id": 2, "name": "Jon", "role": "Treasurer", "hours": 3},
    {"id": 3, "name": "Lia", "role": "Member", "hours": 2},
]

# 2) Add a new member
new_member = {"id": 4, "name": "Zoe", "role": "Member", "hours": 4}
members.append(new_member)

# 3) Update hours for a member by id
def add_hours(member_list, target_id, extra_hours):
    for m in member_list:
        if m["id"] == target_id:
            m["hours"] += extra_hours
            return True
    return False  # id not found

added = add_hours(members, 3, 2)  # add 2 hours to id=3
print("Updated:", added)

# 4) Print a report
print("Club Report")
print("-----------")
total_hours = 0
top_member = None

for m in members:
    print(f"{m['id']}: {m['name']} ({m['role']}) - {m['hours']} hrs")
    total_hours += m["hours"]
    if (top_member is None) or (m["hours"] > top_member["hours"]):
        top_member = m

print("-----------")
print("Total hours:", total_hours)
print("Top contributor:", top_member["name"], "-", top_member["hours"], "hrs")

Expected output (approx):

Updated: True
Club Report
-----------
1: Maya (President) - 5 hrs
2: Jon (Treasurer) - 3 hrs
3: Lia (Member) - 4 hrs
4: Zoe (Member) - 4 hrs
-----------
Total hours: 16
Top contributor: Maya - 5 hrs

Extension Ideas:

List only members with role "Member".
Sort the report by hours (highest first).
Save the data to JSON text (json.dumps) and print it.

SECTION 14: CHECK YOUR UNDERSTANDING (SHORT QUIZ)

Q1: What index does the first item in a list have?
Q2: What error happens if you access a missing dictionary key with square brackets?
Q3: How do you safely access a missing key?
Q4: Which data structure is best for labeled data: list or dictionary?
Q5: What Python types do JSON objects and arrays turn into?

SECTION 15: PRACTICE WORKSHEET (TRY IT YOURSELF)

Task 1: Create a list called movies with at least 3 movie titles. Add one, remove one, and print them all.
Task 2: Create a dictionary user with keys: "username", "email". Add a new key "is_admin" with False. Print keys and values.
Task 3: Make a list of dictionaries students where each has "name" and "age". Loop and print "Name — Age".
Task 4: Given products from Section 8, print only the names of products that are in stock.
Task 5: Sort the products by name and print the sorted names.

SECTION 16: SUMMARY

Lists store ordered items. Use indexes to access them.
Dictionaries store key-value pairs. Use keys to access values.
You can add, update, and remove items from both.
Loop through lists and dictionaries to process data.
Combine them to model real-world information.
Web data (JSON) maps directly to Python dictionaries and lists.

SECTION 17: GLOSSARY QUICK VIEW

List: Ordered collection like [1, 2, 3].
Dictionary: Key-value collection like {"id": 1, "name": "Sam"}.
Index: Position in a list starting at 0.
Key: The label in a dictionary to find a value.
JSON: Web data format similar to Python dictionaries and lists.

END OF LESSON

You did it! You can now model real-world data using Python lists and dictionaries — a key skill for building apps, games, and websites with data.

Dictionaries and Lists

SECTION 1: LESSON OVERVIEW

SECTION 2: WHAT YOU'LL LEARN (OBJECTIVES)

By the end, you will be able to:

Create and use lists to store ordered items.
Create and use dictionaries to store key-value pairs.
Add, change, and remove items in lists and dictionaries.
Loop through lists and dictionaries.
Combine them (lists of dictionaries and dictionaries of lists).
Do simple searching, filtering, and sorting.
Understand how web data (JSON) maps to lists and dictionaries.

SECTION 3: WHY THIS MATTERS (REAL-WORLD)

Social media apps store posts as lists and each post's details in dictionaries.
Online stores keep a product catalog as a list of dictionaries.
Most web APIs send data as JSON, which is basically lists and dictionaries in disguise.

SECTION 4: KEY VOCABULARY

List: An ordered collection of items, like a numbered shelf. Example: ["apple", "banana", "cherry"]
Index: The position of an item in a list (starts at 0).
Dictionary: A collection of key-value pairs, like labeled lockers. Example: {"name": "Alex", "age": 14}
Key: The label in a dictionary ("name", "age").
Value: The data stored for a key ("Alex", 14).
JSON: A common data format from the web that looks like Python dictionaries and lists.

SECTION 5: SETUP

Use Python 3.8 or later.
You can run code in IDLE, VS Code, Replit, or any online Python editor.

SECTION 6: PART 1 — WORKING WITH LISTS

6.1 Creating and Accessing Lists

Python code:

fruits = ["apple", "banana", "cherry"]
print(fruits)           # ['apple', 'banana', 'cherry']
print(fruits[0])        # 'apple' (first item)
print(fruits[-1])       # 'cherry' (last item)

6.2 Changing Items

Python code:

fruits[1] = "blueberry"
print(fruits)  # ['apple', 'blueberry', 'cherry']

6.3 Adding and Removing

Python code:

fruits.append("date")     # add to end
print(fruits)             # ['apple', 'blueberry', 'cherry', 'date']

fruits.insert(1, "banana")  # insert at index 1
print(fruits)               # ['apple', 'banana', 'blueberry', 'cherry', 'date']

removed = fruits.pop()    # removes and returns last item
print(removed)            # 'date'
print(fruits)             # ['apple', 'banana', 'blueberry', 'cherry']

fruits.remove("banana")   # remove by value (first match)
print(fruits)             # ['apple', 'blueberry', 'cherry']

6.4 Looping Through a List

Python code:

for fruit in fruits:
    print(fruit)

6.5 Useful List Functions

Python code:

numbers = [5, 2, 9, 1]
print(len(numbers))   # 4
print(min(numbers))   # 1
print(max(numbers))   # 9
numbers.sort()
print(numbers)        # [1, 2, 5, 9]
numbers.reverse()
print(numbers)        # [9, 5, 2, 1]

Quick Practice — Lists:

Create a list called colors with three colors.
Add one more color.
Change the second color.
Loop and print each color.

Try it yourself before checking the next sections!

SECTION 7: PART 2 — WORKING WITH DICTIONARIES

7.1 Creating and Accessing Dictionaries

Python code:

student = {"name": "Maya", "age": 14, "grade": 9}
print(student["name"])  # Maya
print(student["age"])   # 14

7.2 Adding and Updating

Python code:

student["club"] = "Robotics"     # add new key
student["age"] = 15              # update existing key
print(student)

7.3 Safe Access with get

Python code:

# get returns None (or a default) if the key is missing
print(student.get("email"))             # None
print(student.get("email", "not set"))  # 'not set'

7.4 Removing Items

Python code:

removed_grade = student.pop("grade")  # removes and returns value
print(removed_grade)                  # 9
print(student)

7.5 Looping Through a Dictionary

Python code:

# Loop keys
for key in student.keys():
    print("Key:", key)

# Loop values
for value in student.values():
    print("Value:", value)

# Loop key-value pairs
for key, value in student.items():
    print(key, "->", value)

7.6 Merging Dictionaries

Python code:

extra = {"email": "maya@example.com", "age": 16}
student.update(extra)  # update merges; later values override earlier ones
print(student)

Quick Practice — Dictionaries:

Make a dictionary book with keys: "title", "author", "pages".
Add a "year" key.
Update "pages" to a new number.
Print all keys and values using a loop.

SECTION 8: PART 3 — LISTS + DICTIONARIES TOGETHER

This is where things feel real. You'll often store many similar dictionaries inside a list.

8.1 Example: Product Catalog (List of Dictionaries)

Python code:

products = [
    {"id": 101, "name": "Keyboard", "price": 29.99, "in_stock": True},
    {"id": 102, "name": "Mouse", "price": 19.99, "in_stock": False},
    {"id": 103, "name": "Monitor", "price": 159.99, "in_stock": True},
]

# Print each product name and price
for item in products:
    print(item["name"], "-", "$", item["price"])

# Find a product by id
search_id = 102
found = None
for item in products:
    if item["id"] == search_id:
        found = item
        break
if found:
    print("Found:", found["name"])
else:
    print("Not found")

# Filter items in stock
in_stock_items = []
for item in products:
    if item["in_stock"]:
        in_stock_items.append(item)
print("In stock count:", len(in_stock_items))

8.2 Dictionary of Lists (Grouping)

Python code:

classes = {
    "math": ["Ava", "Ben", "Carlos"],
    "science": ["Dina", "Eli"],
}
classes["science"].append("Fatima")
print(classes["science"])  # ['Dina', 'Eli', 'Fatima']

SECTION 9: SEARCHING, FILTERING, AND SORTING

Python code:

# Filter products cheaper than $50
cheap = []
for p in products:
    if p["price"] < 50:
        cheap.append(p)
print([p["name"] for p in cheap])  # ['Keyboard', 'Mouse']

# Sort products by price (ascending)
products_sorted = sorted(products, key=lambda p: p["price"])
print([p["name"] for p in products_sorted])  # ['Mouse', 'Keyboard', 'Monitor']

SECTION 10: FROM THE WEB TO PYTHON: JSON

APIs on the web often send JSON. In Python, JSON turns into dictionaries and lists.

Python code:

import json

json_text = '''
{
    "city": "Springfield",
    "forecast": [
        {"day": "Mon", "high": 25},
        {"day": "Tue", "high": 28}
    ]
}
'''
data = json.loads(json_text)  # JSON string -> Python dict
print(data["city"])               # Springfield
print(data["forecast"][0]["day"]) # Mon

# Turn Python data back into JSON text
print(json.dumps(data, indent=2))

SECTION 11: COMMON MISTAKES AND QUICK FIXES

Using the wrong index
- Issue: fruits[3] when the list has only 3 items (last index is 2).
- Fix: Check len(fruits) and remember indexes start at 0.
KeyError in dictionaries
- Issue: print(student["email"]) when "email" doesn't exist.
- Fix: Use student.get("email", "not set") or add the key first.
Modifying while looping
- Issue: Removing items from a list while iterating can skip items.
- Fix: Build a new list or loop over a copy (for x in list_name[:]:).
Mixing data types
- Issue: Sorting a list that mixes numbers and strings may fail.
- Fix: Keep consistent data types in lists.

SECTION 12: GUIDED PRACTICE

12.1 Student Gradebook (List of Dictionaries)

Python code:

gradebook = [
    {"name": "Ava", "scores": [88, 92, 95]},
    {"name": "Ben", "scores": [75, 85, 79]},
    {"name": "Cara", "scores": [100, 98, 97]},
]

# Compute average for each student
for s in gradebook:
    total = sum(s["scores"])
    count = len(s["scores"])
    avg = total / count
    s["average"] = round(avg, 1)

# Print report
for s in gradebook:
    print(s["name"], "average:", s["average"])

# Find top student
top = None
for s in gradebook:
    if (top is None) or (s["average"] > top["average"]):
        top = s
print("Top student:", top["name"], "-", top["average"])

Expected output (approx):

Ava average: 91.7
Ben average: 79.7
Cara average: 98.3
Top student: Cara - 98.3

SECTION 13: MINI PROJECT — SCHOOL CLUB MANAGER

Goal: Manage members, track their roles, and show simple reports using lists and dictionaries.

Requirements:

Store each member as a dictionary with keys: "id", "name", "role", and "hours".
Keep all members in a list.
Add a new member.
Update hours for a member by id.
Print a report of all members.
Show total hours and the member with the most hours.

Starter Code:

Python code:

# 1) Initial data
members = [
    {"id": 1, "name": "Maya", "role": "President", "hours": 5},
    {"id": 2, "name": "Jon", "role": "Treasurer", "hours": 3},
    {"id": 3, "name": "Lia", "role": "Member", "hours": 2},
]

# 2) Add a new member
new_member = {"id": 4, "name": "Zoe", "role": "Member", "hours": 4}
members.append(new_member)

# 3) Update hours for a member by id
def add_hours(member_list, target_id, extra_hours):
    for m in member_list:
        if m["id"] == target_id:
            m["hours"] += extra_hours
            return True
    return False  # id not found

added = add_hours(members, 3, 2)  # add 2 hours to id=3
print("Updated:", added)

# 4) Print a report
print("Club Report")
print("-----------")
total_hours = 0
top_member = None

for m in members:
    print(f"{m['id']}: {m['name']} ({m['role']}) - {m['hours']} hrs")
    total_hours += m["hours"]
    if (top_member is None) or (m["hours"] > top_member["hours"]):
        top_member = m

print("-----------")
print("Total hours:", total_hours)
print("Top contributor:", top_member["name"], "-", top_member["hours"], "hrs")

Expected output (approx):

Updated: True
Club Report
-----------
1: Maya (President) - 5 hrs
2: Jon (Treasurer) - 3 hrs
3: Lia (Member) - 4 hrs
4: Zoe (Member) - 4 hrs
-----------
Total hours: 16
Top contributor: Maya - 5 hrs

Extension Ideas:

List only members with role "Member".
Sort the report by hours (highest first).
Save the data to JSON text (json.dumps) and print it.

SECTION 14: CHECK YOUR UNDERSTANDING (SHORT QUIZ)

Q1: What index does the first item in a list have?
Q2: What error happens if you access a missing dictionary key with square brackets?
Q3: How do you safely access a missing key?
Q4: Which data structure is best for labeled data: list or dictionary?
Q5: What Python types do JSON objects and arrays turn into?

SECTION 15: PRACTICE WORKSHEET (TRY IT YOURSELF)

Task 1: Create a list called movies with at least 3 movie titles. Add one, remove one, and print them all.
Task 2: Create a dictionary user with keys: "username", "email". Add a new key "is_admin" with False. Print keys and values.
Task 3: Make a list of dictionaries students where each has "name" and "age". Loop and print "Name — Age".
Task 4: Given products from Section 8, print only the names of products that are in stock.
Task 5: Sort the products by name and print the sorted names.

SECTION 16: SUMMARY

Lists store ordered items. Use indexes to access them.
Dictionaries store key-value pairs. Use keys to access values.
You can add, update, and remove items from both.
Loop through lists and dictionaries to process data.
Combine them to model real-world information.
Web data (JSON) maps directly to Python dictionaries and lists.

SECTION 17: GLOSSARY QUICK VIEW

List: Ordered collection like [1, 2, 3].
Dictionary: Key-value collection like {"id": 1, "name": "Sam"}.
Index: Position in a list starting at 0.
Key: The label in a dictionary to find a value.
JSON: Web data format similar to Python dictionaries and lists.

END OF LESSON

You did it! You can now model real-world data using Python lists and dictionaries — a key skill for building apps, games, and websites with data.

web-dev Topics

web-dev Tutorial

Dictionaries and Lists

SECTION 1: LESSON OVERVIEW

SECTION 2: WHAT YOU'LL LEARN (OBJECTIVES)

SECTION 3: WHY THIS MATTERS (REAL-WORLD)

SECTION 4: KEY VOCABULARY

SECTION 5: SETUP

SECTION 6: PART 1 — WORKING WITH LISTS

6.1 Creating and Accessing Lists

6.2 Changing Items

6.3 Adding and Removing

6.4 Looping Through a List

6.5 Useful List Functions

Quick Practice — Lists:

SECTION 7: PART 2 — WORKING WITH DICTIONARIES

7.1 Creating and Accessing Dictionaries

7.2 Adding and Updating

7.3 Safe Access with get

7.4 Removing Items

7.5 Looping Through a Dictionary

7.6 Merging Dictionaries

Quick Practice — Dictionaries:

SECTION 8: PART 3 — LISTS + DICTIONARIES TOGETHER

8.1 Example: Product Catalog (List of Dictionaries)

8.2 Dictionary of Lists (Grouping)

SECTION 9: SEARCHING, FILTERING, AND SORTING

SECTION 10: FROM THE WEB TO PYTHON: JSON

SECTION 11: COMMON MISTAKES AND QUICK FIXES

SECTION 12: GUIDED PRACTICE

12.1 Student Gradebook (List of Dictionaries)

SECTION 13: MINI PROJECT — SCHOOL CLUB MANAGER

Starter Code:

Extension Ideas:

SECTION 14: CHECK YOUR UNDERSTANDING (SHORT QUIZ)

SECTION 15: PRACTICE WORKSHEET (TRY IT YOURSELF)

SECTION 16: SUMMARY

SECTION 17: GLOSSARY QUICK VIEW

END OF LESSON

web-dev Topics

web-dev Tutorial

Dictionaries and Lists

SECTION 1: LESSON OVERVIEW

SECTION 2: WHAT YOU'LL LEARN (OBJECTIVES)

SECTION 3: WHY THIS MATTERS (REAL-WORLD)

SECTION 4: KEY VOCABULARY

SECTION 5: SETUP

SECTION 6: PART 1 — WORKING WITH LISTS

6.1 Creating and Accessing Lists

6.2 Changing Items

6.3 Adding and Removing

6.4 Looping Through a List

6.5 Useful List Functions

Quick Practice — Lists:

SECTION 7: PART 2 — WORKING WITH DICTIONARIES

7.1 Creating and Accessing Dictionaries

7.2 Adding and Updating

7.3 Safe Access with get

7.4 Removing Items

7.5 Looping Through a Dictionary

7.6 Merging Dictionaries

Quick Practice — Dictionaries:

SECTION 8: PART 3 — LISTS + DICTIONARIES TOGETHER

8.1 Example: Product Catalog (List of Dictionaries)

8.2 Dictionary of Lists (Grouping)

SECTION 9: SEARCHING, FILTERING, AND SORTING

SECTION 10: FROM THE WEB TO PYTHON: JSON

SECTION 11: COMMON MISTAKES AND QUICK FIXES

SECTION 12: GUIDED PRACTICE

12.1 Student Gradebook (List of Dictionaries)

SECTION 13: MINI PROJECT — SCHOOL CLUB MANAGER

Starter Code:

Extension Ideas:

SECTION 14: CHECK YOUR UNDERSTANDING (SHORT QUIZ)

SECTION 15: PRACTICE WORKSHEET (TRY IT YOURSELF)

SECTION 16: SUMMARY

SECTION 17: GLOSSARY QUICK VIEW

END OF LESSON