Types

noreply@example.com (AG Sayyed) — Thu, 24 Jul 2025 00:00:00 +0000

This document explains Python's core data types—integers, floats, strings, and booleans—along with typecasting and practical usage. Readers will learn how Python represents, converts, and manipulates different types of data for programming and analysis.

Introduction

Python uses data types to represent different kinds of values. Understanding these types is essential for effective programming and data analysis.

Common Data Types in Python

Python supports several fundamental data types:

Expression	Data Type
11	int
21.213	float
“words”	str

int: Represents integers, which can be positive or negative. The range is finite but very large.
float: Represents real numbers, including values between integers. Floats allow precise selection of numbers between any two values, though there is a practical limit.
str: Represents sequences of characters, such as words or sentences.

Type Checking and Typecasting

Python provides tools to check and convert data types:

Types on Ghafoor's Personal Blog

Types

Introduction

Common Data Types in Python

Type Checking and Typecasting