Data Types in Python

Study Notes

Python uses data types to classify data based on its nature and the operations that can be performed on it.
Basic data types include integers, floats, and strings.

Integers (int): represent whole numbers (positive and negative) without decimal places.
Floats (float): represent real numbers including decimal points.
Complex numbers (complex): are expressed as (1.2-1.3j), with a real part (1.2) and an imaginary part (-1.3j).

A string is a sequence of characters, enclosed in single (') or double quotes (").
They are used for text representation.

The input() function reads user input as a string.
Python allows converting data types using functions like int(), float(), and str().

Multiple ways to define strings, including single quotes ('), double quotes ("), and triple quotes (''' or """).
Triple quotes allow multi-line strings.

The lab requires calculating the value of a polynomial expression (-y)3 + 2x^2y using the values x = -1 and y = 3.

List: an ordered and mutable sequence of items, enclosed in square brackets ([]).
Tuple: similar to a list but immutable (unchangeable), defined using parentheses (()).
Dictionary: a collection of key-value pairs, where keys must be unique and used to retrieve associated values.
- Defined using curly braces ({}) or the dict() function.
Set: an unordered collection of unique items, defined using curly braces ({}) or the set() function.
NoneType: represents the absence of a value or a null value, defined using the None keyword.