Python Data Types

Python Data Types

 

While I was studying Python, I realized that there are lots of different data types in Python.

 

 

 

 

Numerical data types are used to represent numbers. They primarily consist of integers and floating-point numbers, used for calculations and numerical operations. 

 

In Python, two main types of numerical data are commonly used:

1. Integer:
   - Integers represent whole numbers without a decimal point.
   - They can include both positive and negative integers.
   - For example, `1`, `-5`, `100` are integers.
   - In Python, integers are represented by the `int` type.

2. Float:
   - Floating-point numbers represent numbers with a decimal point.
   - They can include both integer and fractional parts.
   - For example, `3.14`, `-0.5`, `2.71828` are floats.
   - In Python, floating-point numbers are represented by the `float` type.

In Python, these numerical data types can be manipulated through arithmetic operations and assigned to variables for use.

 

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Sequence type refers to a data type in Python that stores elements in a specific order.

These elements can be of various data types and are arranged sequentially. 

1. List:
   - The most commonly used sequence type, created using square brackets `[]`.
   - Lists can contain elements of different data types.
   - Examples include `[1, 2, 3]`, `['apple', 'banana', 'orange']`.

2. Tuple:
   - Similar to lists but immutable, meaning they cannot be modified once created.
   - Created using parentheses `()`.
   - Examples include `(1, 2, 3)`, `('apple', 'banana', 'orange')`.

3. String:
   - A sequence of characters enclosed in single (`'`) or double (`"`) quotes.
   - Examples include `'hello'`, `"Python"`.

Sequence types support common operations such as indexing, slicing, and iteration, making them useful for processing and manipulating data. They also provide various built-in functions and methods for performing different tasks in Python.