Data Types In Python

The following are data types in Python Programming Language.

Integer: The data type for whole numbers.
Example: a = 5

Float: The data type for real numbers, i.e., numbers with decimal points.
Example: b = 3.14

Complex: The data type for complex numbers, i.e., numbers of the form a + bj, where a and b are floats and j represents the square root of -1.
Example: c = 3 + 4j

String: The data type for sequences of characters, enclosed in single or double quotes.
Example: d = ‘Hello, World!’

Boolean: The data type for logical values, either True or False.
Example: e = True

None: A special constant in Python that represents the absence of a value or a null value.
Example: f = None

Outlines of Python operations and data structures:

Arithmetic operations such as the addition, subtraction, multiplication, division, floor division, modulus, and exponentiation.

String operations: concatenation, repetition, indexing, slicing, and various built-in methods.

List operations: indexing, slicing, various built-in methods like append(), extend(), etc.

Control structures: conditional statements (if-else) and loops (for and while).

Functions: reusable blocks of code that can be defined and called.

Data types: integers, floats, complex numbers, strings, booleans, and None.

These operations and data structures, among others, allow programmers to write efficient and flexible Python code.

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