Quest 2: Data Types - Shapes of Information

Discover the Different Kinds of Data in Python

🔷 QUEST 2 | Difficulty: Beginner | Time: 5 minutes

📊 Complexity Level: Beginner ⭐

Perfect for students with no programming experience. This lesson introduces fundamental concepts that are essential for all programming. Great for college fair visitors and first-time coders!

💻 Interactive Options:

📓 Open in JupyterLite - Full Jupyter environment in your browser
▶️ Run code directly below - All code cells on this page are editable and runnable
📥 Download Notebook - For use in local Jupyter or Google Colab

📖 Introduction: The Shape-Shifting Treasure

You’ve discovered a mysterious treasure room with different types of treasures: gold coins (numbers), ancient scrolls (text), magical crystals (true/false), and floating price tags (decimals). Each type of treasure has unique properties and uses!

Just like treasures come in different forms, data in Python comes in different types. Understanding data types helps you know what you can and can’t do with your information.

🏺 Story Time: You find a magic box that only accepts certain types of items. You can’t add a scroll to a pile of gold coins—they’re different types! Similarly, in Python, you can’t always mix different data types without converting them first.

💡 Explanation: The Main Data Types

Python has several built-in data types. Here are the most important ones:

🔢 Integers (int)

Whole numbers, positive or negative, with no decimal point.

age = 15
score = 1000
temperature = -5

📏 Floats (float)

Numbers with decimal points.

price = 19.99
pi = 3.14159
temperature = 98.6

📝 Strings (str)

Text enclosed in quotes (single or double).

name = "Alex"
message = 'Hello, World!'
quote = "To code or not to code"

✅ Booleans (bool)

True or False values (note the capital T and F!).

is_game_over = False
has_key = True
is_raining = False

🔍 How to Check Data Types:

Use the type() function to see what type something is:

print(type(42))        # <class 'int'>
print(type(3.14))      # <class 'float'>
print(type("Hello"))   # <class 'str'>
print(type(True))      # <class 'bool'>

🎮 Activity: The Data Type Detective

Run this code to explore different data types:

🎯 Challenge: Try these experiments:

Change health to 100.0 - what type is it now?
Change player_name to 12345 (without quotes) - what happens?
What happens if you write is_alive = "True" (with quotes)?

Run the code after each change and observe!

👨‍💻 Code Example: Working with Different Types

Different types support different operations:

💡 Watch Out!: Mixing types can cause errors:

# This works:
result = "Score: " + str(100)

# This doesn't work:
# result = "Score: " + 100  # Error! Can't add string and int

Use str(), int(), or float() to convert between types!

🧩 Puzzle Time!

What will happen with this code? Try to predict, then run it:

🔑 Solution Explained:

The output is:

String addition: 10 + 20 = 1020
Number addition: 10 + 20 = 30

Why?

When you add strings ("10" + "20"), Python concatenates (joins) them together → "1020"
When you add integers (10 + 20), Python performs mathematical addition → 30

The + operator behaves differently depending on the data type! This is why understanding types is so important.

Bonus: What if you wanted to add those string numbers? You’d convert them first:

result = int("10") + int("20")  # Result: 30

🎯 Key Takeaways

✨ Quest 2 Complete! ✨

You’ve learned:

✅ Python has different data types: int, float, str, bool
✅ Use type() to check what type a value is
✅ Different types support different operations
✅ You can convert between types using int(), float(), str()
✅ The same operator can behave differently with different types

Next Quest: Ready to make decisions? Try Quest 3: Conditionals!

🚀 Try This at Home!

Create a simple “About Me” program using different data types:

# All about you!
name = "Your Name"           # string
age = 15                     # integer
height = 5.5                 # float (in feet)
loves_coding = True          # boolean
favorite_number = 42         # integer

# Print everything with their types
print(f"Name: {name} (type: {type(name).__name__})")
print(f"Age: {age} (type: {type(age).__name__})")
# Add more...

Experiment with converting types and see what happens!

📱 Keep Going! You’re building your Python foundation. Each quest makes you stronger! 💪

--- title: "Quest 2: Data Types - Shapes of Information" subtitle: "Discover the Different Kinds of Data in Python" format: live-html: code-tools: true --- ::: {.quest-badge} 🔷 QUEST 2 | Difficulty: Beginner | Time: 5 minutes ::: ::: {.concept-box} **📊 Complexity Level: Beginner ⭐** Perfect for students with **no programming experience**. This lesson introduces fundamental concepts that are essential for all programming. Great for college fair visitors and first-time coders! ::: ::: {.tip-box} **💻 Interactive Options:** - 📓 **[Open in JupyterLite](../jupyterlite/lab/index.html?path=02-data-types.ipynb)** - Full Jupyter environment in your browser - ▶️ **Run code directly below** - All code cells on this page are editable and runnable - 📥 **[Download Notebook](../files/lessons/02-data-types.ipynb)** - For use in local Jupyter or Google Colab ::: ## 📖 Introduction: The Shape-Shifting Treasure You've discovered a mysterious treasure room with different types of treasures: gold coins (numbers), ancient scrolls (text), magical crystals (true/false), and floating price tags (decimals). Each type of treasure has unique properties and uses! Just like treasures come in different forms, data in Python comes in different **types**. Understanding data types helps you know what you can and can't do with your information. ::: {.story-box} **🏺 Story Time**: You find a magic box that only accepts certain types of items. You can't add a scroll to a pile of gold coins—they're different types! Similarly, in Python, you can't always mix different data types without converting them first. ::: ## 💡 Explanation: The Main Data Types Python has several built-in data types. Here are the most important ones: ### 🔢 Integers (int) Whole numbers, positive or negative, with no decimal point. ```python age = 15 score = 1000 temperature = -5 ``` ### 📏 Floats (float) Numbers with decimal points. ```python price = 19.99 pi = 3.14159 temperature = 98.6 ``` ### 📝 Strings (str) Text enclosed in quotes (single or double). ```python name = "Alex" message = 'Hello, World!' quote = "To code or not to code" ``` ### ✅ Booleans (bool) True or False values (note the capital T and F!). ```python is_game_over = False has_key = True is_raining = False ``` ::: {.concept-box} **🔍 How to Check Data Types**: Use the `type()` function to see what type something is: ```python print(type(42)) # <class 'int'> print(type(3.14)) # <class 'float'> print(type("Hello")) # <class 'str'> print(type(True)) # <class 'bool'> ``` ::: ## 🎮 Activity: The Data Type Detective Run this code to explore different data types: ```{pyodide-python} # Let's investigate different types of data! # Numbers health = 100 damage = 15.5 # Text player_name = "CodeMaster" greeting = "Welcome to the adventure!" # Boolean is_alive = True has_sword = False # Let's see their types print("=== DATA TYPE INVESTIGATION ===") print(f"health ({health}) is type: {type(health)}") print(f"damage ({damage}) is type: {type(damage)}") print(f"player_name ({player_name}) is type: {type(player_name)}") print(f"greeting ({greeting}) is type: {type(greeting)}") print(f"is_alive ({is_alive}) is type: {type(is_alive)}") print(f"has_sword ({has_sword}) is type: {type(has_sword)}") ``` ::: {.challenge-box} **🎯 Challenge**: Try these experiments: 1. Change `health` to `100.0` - what type is it now? 2. Change `player_name` to `12345` (without quotes) - what happens? 3. What happens if you write `is_alive = "True"` (with quotes)? Run the code after each change and observe! ::: ## 👨‍💻 Code Example: Working with Different Types Different types support different operations: ```{pyodide-python} # Math with numbers coins = 10 found_coins = 5 total_coins = coins + found_coins print(f"🪙 Math: {coins} + {found_coins} = {total_coins}") # Combining strings (concatenation) first_name = "Code" last_name = "Warrior" full_name = first_name + " " + last_name print(f"📝 Strings: {first_name} + {last_name} = {full_name}") # String multiplication (yes, really!) laugh = "ha" big_laugh = laugh * 5 print(f"😂 String * Number: {laugh} * 5 = {big_laugh}") # Booleans in action has_shield = True has_armor = False is_protected = has_shield or has_armor print(f"🛡️ Boolean Logic: has_shield ({has_shield}) or has_armor ({has_armor}) = {is_protected}") ``` ::: {.tip-box} **💡 Watch Out!**: Mixing types can cause errors: ```python # This works: result = "Score: " + str(100) # This doesn't work: # result = "Score: " + 100 # Error! Can't add string and int ``` Use `str()`, `int()`, or `float()` to convert between types! ::: ## 🧩 Puzzle Time! What will happen with this code? Try to predict, then run it: ```{pyodide-python} # Mystery code - what will print? a = "10" b = "20" result1 = a + b c = 10 d = 20 result2 = c + d print(f"String addition: {a} + {b} = {result1}") print(f"Number addition: {c} + {d} = {result2}") # Why are the results different? # Can you explain it? ``` ::: {.solution-box} **🔑 Solution Explained**: The output is: ``` String addition: 10 + 20 = 1020 Number addition: 10 + 20 = 30 ``` **Why?** - When you add **strings** (`"10" + "20"`), Python concatenates (joins) them together → `"1020"` - When you add **integers** (`10 + 20`), Python performs mathematical addition → `30` The `+` operator behaves differently depending on the data type! This is why understanding types is so important. **Bonus**: What if you wanted to add those string numbers? You'd convert them first: ```python result = int("10") + int("20") # Result: 30 ``` ::: ## 🎯 Key Takeaways ::: {.quest-complete} ### ✨ Quest 2 Complete! ✨ You've learned: ✅ Python has different data types: int, float, str, bool ✅ Use `type()` to check what type a value is ✅ Different types support different operations ✅ You can convert between types using `int()`, `float()`, `str()` ✅ The same operator can behave differently with different types **Next Quest**: Ready to make decisions? Try [Quest 3: Conditionals](03-conditionals.qmd)! ::: ## 🚀 Try This at Home! Create a simple "About Me" program using different data types: ```python # All about you! name = "Your Name" # string age = 15 # integer height = 5.5 # float (in feet) loves_coding = True # boolean favorite_number = 42 # integer # Print everything with their types print(f"Name: {name} (type: {type(name).__name__})") print(f"Age: {age} (type: {type(age).__name__})") # Add more... ``` Experiment with converting types and see what happens! --- ::: {.tip-box} **📱 Keep Going!** You're building your Python foundation. Each quest makes you stronger! 💪 :::