Numeric Data Types: Mastering Integers and Floats in Programming
Distinguishes Python's two primary numeric types: integers (arbitrary-precision whole numbers) and floats (decimal-point numbers with IEEE 754 representation). Covers all arithmetic operators including floor division (//) and modulus (%), explains why dividing two integers produces a float in Python 3, and demonstrates type conversion with int() and float(). Highlights floating-point precision pitfalls (like 0.1 + 0.2 not equaling 0.3) and mentions the decimal module as a remedy. Practical exercise builds a Celsius-to-Fahrenheit converter with round-trip conversion.