Python literals Page
Python Numeric Literals
Numeric literals in Python represent fixed numerical values and include integers and floating-point numbers. Integers are whole numbers without any fractional part, while floating-point numbers include a decimal point. Python allows integers to be represented in decimal, binary, octal, and hexadecimal formats. Floating-point literals can be written using a decimal point or using scientific notation. These literals play a crucial role in numerical computations and data manipulation tasks within Python programs.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#numeric-literals | Python documentation on numeric literals].
String Literals
String literals in Python are sequences of characters enclosed in single, double, or triple quotes. They allow developers to work with textual data and represent strings of characters such as letters, digits, and special symbols. Python supports various string manipulation operations and methods, making string literals versatile for tasks like text processing, data parsing, and formatting. Triple-quoted strings are particularly useful for representing multiline text or docstrings in Python code.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#string-and-bytes-literals | Python documentation on string literals].
Boolean Literals
Boolean literals in Python represent the two truth values, `True` and `False`. These literals are used to evaluate conditions and control the flow of execution in Python programs. Boolean literals are often the result of comparison operations or logical expressions and are fundamental for implementing decision-making logic and boolean algebra operations.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#boolean-literals | Python documentation on boolean literals].
Special Literals
Python includes a special literal `None`, which represents the absence of a value or a null value. It is commonly used to indicate that a variable or expression does not refer to any object or has no value assigned to it. `None` serves as a placeholder or default value in situations where no other meaningful value exists.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#special-literals | Python documentation on special literals].
Collection Literals
Collection literals in Python include lists, tuples, dictionaries, and sets. These literals represent data structures for storing and organizing multiple values. Lists are ordered collections of items enclosed in square brackets, while tuples are similar but immutable and enclosed in parentheses. Dictionaries are key-value pairs enclosed in curly braces, and sets are unordered collections of unique elements enclosed in curly braces.
For more information, refer to the [https://docs.python.org/3/reference/expressions.html#displays-for-lists-sets-and-dictionaries | Python documentation on collection literals].
Bytes and Bytearray Literals
Python supports bytes and bytearray literals for representing sequences of bytes. Bytes literals are immutable sequences of bytes, while bytearray literals are mutable. These literals are often used in scenarios involving binary data manipulation, file I/O operations, and network programming.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#bytes-literals | Python documentation on bytes and bytearray literals].
Numeric Literal Examples
Numeric literals are represented as fixed numerical values and include integers and floating-point numbers. Integers are whole numbers without any fractional part, while floating-point numbers include a decimal point. Python allows integers to be represented in decimal, binary, octal, and hexadecimal formats. Floating-point literals can be written using a decimal point or using scientific notation. These literals play a crucial role in numerical computations and data manipulation tasks within Python programs.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#numeric-literals | Python documentation on numeric literals].
String Literal Examples
String literals in Python are sequences of characters enclosed in single, double, or triple quotes. They allow developers to work with textual data and represent strings of characters such as letters, digits, and special symbols. Python supports various string manipulation operations and methods, making string literals versatile for tasks like text processing, data parsing, and formatting. Triple-quoted strings are particularly useful for representing multiline text or docstrings in Python code.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#string-and-bytes-literals | Python documentation on string literals].
Boolean Literal Examples
Boolean literals in Python represent the two truth values, `True` and `False`. These literals are used to evaluate conditions and control the flow of execution in Python programs. Boolean literals are often the result of comparison operations or logical expressions and are fundamental for implementing decision-making logic and boolean algebra operations.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#boolean-literals | Python documentation on boolean literals].
Special Literal Example
Python includes a special literal `None`, which represents the absence of a value or a null value. It is commonly used to indicate that a variable or expression does not refer to any object or has no value assigned to it. `None` serves as a placeholder or default value in situations where no other meaningful value exists.
For more information, refer to the [https://docs.python.org/3/reference/lexical_analysis.html#special-literals | Python documentation on special literals].