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Documentation Index

Fetch the complete documentation index at: https://python.datalumina.com/llms.txt

Use this file to discover all available pages before exploring further.

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Two types of numbers

Python has two ways to store numbers: Integers - Whole numbers without decimals 
age = 25
score = -10
Floats - Numbers with decimal points 
price = 19.99
temperature = -5.5
pi = 3.14159
Python uses a dot (.) for decimals, not a comma. Writing 3,14 creates a tuple, not the number 3.14!

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Why two types?

Python separates integers and floats for efficiency - computers can work with whole numbers faster and more precisely. But here’s the reassuring part: in practice, you rarely need to think about this. Python handles the conversion automatically when needed, and most of the time you’ll just use whatever makes sense - whole numbers for counting things, decimals for measurements and calculations.

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Basic math operations

Numbers work just like a calculator: 
# Addition and subtraction
total = 10 + 5     # 15
change = 20 - 7    # 13

# Multiplication and division
area = 6 * 4       # 24
half = 10 / 2      # 5.0 (always returns float)

# Powers
squared = 5 ** 2   # 25
cubed = 2 ** 3     # 8

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Integer vs float division

Division has two forms: 
# Regular division (always float)
result = 10 / 3    # 3.333...

# Integer division (rounds down)
result = 10 // 3   # 3
These are just the basics! Python can solve complex math problems too. When you need square roots, trigonometry, or advanced calculations, ask AI to help with the specific syntax - no need to memorize every math symbol right now.

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Common mistakes

# Even when dividing evenly
result = 10 / 2
print(result)       # 5.0 (not 5)
print(type(result)) # <class 'float'>

# Use // for integer result
result = 10 // 2    # 5

# Wrong
million = 1,000,000  # Creates a tuple, not a number!

# Right
million = 1000000    # Hard to read
million = 1_000_000  # Python style

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What’s next?

Now let’s learn about working with text in Python!

Strings

Text and characters