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Python Data Types

Learning Objectives

• Work with str, int, float, complex, bool.
• Convert between common types.
• Avoid conversion runtime errors.

Example

a = "42"
b = int(a)
c = float("3.5")
d = bool(1)
print(type(b), type(c), type(d))

Dry Run

• int("42") -> 42
• float("3.5") -> 3.5
• bool(1) -> True

Common Mistakes

• Converting non-numeric text directly to int/float.
• Assuming "False" string becomes False with bool().

Practice

1. Read two numbers as input strings and add after conversion.
2. Show successful and failed cast examples.