Python Literals: String, Numeric, Boolean & Collection Literals

In computer programming, a literal is a fixed value written directly into the source code text. While a variable is a named storage tag, the actual value assigned to that variable (such as 100, "Veewom", or True) is a literal. Python provides rich syntactic support for numeric, string, boolean, special, and collection literals.

1. Numeric Literals in Python

Numeric literals are divided into integers, floating-point numbers, and complex numbers:

A. Integer Literals (Decimal, Binary, Octal, Hexadecimal)

Python integers can be written in four different numeral bases:

# Integer Literals in different bases
decimal_num = 100        # Standard Base 10
binary_num = 0b1100100   # Base 2 (prefixed with 0b)
octal_num = 0o144        # Base 8 (prefixed with 0o)
hex_num = 0x64           # Base 16 (prefixed with 0x)

# Visual underscores as thousands separators (PEP 515):
budget = 10_000_000      # Ten Million

print(f"Dec: {decimal_num}, Bin: {binary_num}, Oct: {octal_num}, Hex: {hex_num}")
# All print: 100!

B. Floating-Point Literals

Floating-point literals represent real fractional numbers, written with a decimal point or using scientific exponential notation (e or E):

pi = 3.14159
avogadro = 6.022e23       # 6.022 x 10^23
small_charge = 1.6e-19    # 1.6 x 10^-19

C. Complex Number Literals

Python has native built-in support for complex numbers in the form a + bj, where j represents the imaginary unit (√-1):

z = 3 + 5j
print("Real Part:", z.real)        # 3.0
print("Imaginary Part:", z.imag)   # 5.0

2. String Literals & Multi-Line Text

String literals represent sequences of text characters enclosed in quotes:

• Single / Double Quotes: 'Hello' or "Hello" (both are identical in Python).

• Triple Quotes (''' or """): Allow multi-line strings spanning multiple physical lines without manual \n escape characters.

• Raw Strings (r""): Ignores backslash escape sequences, essential for Regular Expressions and Windows directory paths (r"C:\new\test").

# Multi-line string literal:
syllabus = """
1. Python Fundamentals
2. Control Flow & Loops
3. Data Structures
4. Object-Oriented Programming
"""
print(syllabus)

3. Boolean Literals & Special Literal None

Python has two Boolean literals: True and False. Internally in Python, True behaves as an integer 1 and False behaves as 0:

print(True + True)   # 2 (1 + 1)
print(False * 50)    # 0 (0 * 50)

# Special Literal: None
db_connection = None
if db_connection is None:
    print("No database connection active!")

4. Literal Collections (Lists, Tuples, Dictionaries, Sets)

Python provides direct syntactic literal notations for constructing collections without calling class constructors:

# Collection Literals:
marks_list = [85, 90, 78, 92]                # List Literal (square brackets)
coordinates = (28.6139, 77.2090)             # Tuple Literal (parentheses)
unique_tags = {"python", "bca", "coding"}     # Set Literal (curly brackets)
student_info = {"id": 101, "name": "Pooja"}  # Dictionary Literal (key: value pairs)

Frequently Asked Questions (FAQ)