Common Python Data Types and Their Usage

Data types are essential attributes of any programming language; assigning explicit types enables computers to process data correctly. This article outlines the most commonly used Python data types.

Integer (int) : Represents whole numbers in decimal, binary (prefix 0b ), octal (prefix 0o ), and hexadecimal (prefix 0x ) formats. Example:

print('十进制', 118) print('二进制', 0b10101111) print('八进制', 0o176) print('十六进制', 0x1EA3)

Floating‑point (float) : Consists of an integer part and a fractional part, but suffers from precision issues. Direct addition may yield unexpected results, e.g., n1 = 1.1 n2 = 2.2 print(n1 + n2) # 3.3000000000000003 . Using the decimal module resolves this:

from decimal import Decimal print(Decimal('1.1') + Decimal('2.2')) # 3.3

Boolean (bool) : Represents truth values True and False (capitalized). Booleans can be cast to integers ( True → 1 , False → 0 ). Example:

f1 = True f2 = False print(int(f1)) # 1 print(int(f2)) # 0

String (str) : Immutable sequence of characters. Can be defined with single quotes, double quotes, or triple quotes for multi‑line strings. Example:

str1 = '我还年轻,吃苦趁现在' str2 = "我还年轻,吃苦趁现在" str3 = """我还年轻,吃苦趁现在"""