Python Variables, Data Types, and Input Handling Explained for Data Analysis

A foundational guide to Python for data analysis covers how variables are defined, named, and used to store and reuse data throughout a program. Python supports several data types — including strings, integers, lists, and dictionaries — and a variable can hold only one type at a time. User input can be collected via the input() function, though it stores all data as strings by default. To handle numeric input correctly, developers can use type casting to convert a variable from one data type to another, such as converting a string to an integer using int(). Understanding these core concepts is considered essential before performing any meaningful data analysis in Python.