What Kind of Data Is That? Python Data Types Explained

Imagine you work in a warehouse. Every box must be labelled — 'fragile', 'frozen', 'heavy' — so workers handle it correctly. Mix up the labels and things go wrong fast. Python does the same thing with every piece of data in your program: it gives it a type label. Without that label, Python wouldn't know whether to treat '3' as a number you can add to something, or as a character on a screen. Quick recall: In Python, what symbol do you use to store a value in a variable? (Think back to any program you have written before.)

Python automatically assigns a data type to every value the moment you create it. There are four types you need to know right now. **int (integer)** stores whole numbers — no decimal point. Examples: 7, -3, 100. Use int when you are counting things: scores, ages, number of items. **float (floating-point number)** stores numbers with a decimal point. Examples: 3.14, -0.5, 9.81. Use float for measurements, prices, or anything that needs precision between whole numbers. **str (string)** stores text — any sequence of characters wrapped in quote marks. Examples: 'hello', "Python", '42'. Notice that '42' is a string, not a number; the quote marks make it text. You cannot do arithmetic with a string. **bool (Boolean)** stores only one of two values: True or False. Booleans come from comparisons or conditions. Example: the result of 5 > 3 is True. Python can tell you a value's type using the built-in function type(). For example, type(3.14) returns <class 'float'>. Why does this matter? Python treats each type differently. You can multiply two ints, but multiplying two strings gives an error. Adding an int to a string causes a TypeError. Choosing the right type keeps your program logical and bug-free.