Different data types in Python

Here are some of the most commonly used data types in Python:

1. **Numeric Types**:

   - **int**: Integer values, e.g., `5`, `-3`

   - **float**: Floating-point numbers, e.g., `3.14`, `-0.001`

   - **complex**: Complex numbers, e.g., `1 + 2j`

2. **Sequence Types**:

   - **list**: Ordered, mutable collections of items, e.g., `[1, 2, 3]`

   - **tuple**: Ordered, immutable collections of items, e.g., `(1, 2, 3)`

   - **range**: Represents an immutable sequence of numbers, e.g., `range(0, 10)`

 

3. **Text Type**:

   - **str**: String literals, e.g., `"hello"`, `'world'`

 

4. **Binary Types**:

   - **bytes**: Immutable sequences of bytes, e.g., `b'hello'`

   - **bytearray**: Mutable sequences of bytes, e.g., `bytearray(5)`

   - **memoryview**: Allows byte-level access to bytes-like objects without copying, e.g., `memoryview(b'abc')`

 

5. **Set Types**:

   - **set**: Unordered collections of unique elements, e.g., `{1, 2, 3}`

   - **frozenset**: Immutable version of a set, e.g., `frozenset([1, 2, 3])`

 

6. **Mapping Type**:

   - **dict**: Collections of key-value pairs, e.g., `{'a': 1, 'b': 2}`

 

7. **Boolean Type**:

   - **bool**: Represents truth values, `True` or `False`

 

8. **None Type**:

   - **NoneType**: Represents the absence of a value, `None`

 

These are the basic data types available in Python, each serving different purposes depending on the needs of the program.

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