Complete Guide to Python Data Types With Memory Model and Code Examples
Introduction: Python is dynamically typed. That means you do not declare variable types explicitly. The interpreter decides the type at runtime. Understanding data types is not optional. It affects memory usage, performance, and debugging. In this guide, you will learn: • Core built in data types • Mutable vs immutable objects • Memory behavior • Type checking • Common mistakes • Best practices Numeric Types Python has three main numeric types. int float complex Example: x = 10 y = 3.14 z = 2 + 3j int stores whole numbers. float stores decimal numbers. complex stores real and imaginary parts. Memory insight: Python integers are objects. They are not fixed 32 bit like C. They grow dynamically based on size. Check type: type ( x ) 2. Boolean Type Boolean represents True or False. is_active = True Internally True equals 1, False equals 0. Example: print ( True + True ) Output is 2. String Type Strings are immutable sequences of Unicode ...