recodehive · sanjay-kv · Jun 10, 2025 · Jun 10, 2025
@@ -0,0 +1,212 @@
+---
+id: datatype-python
+title: Python Data Types
+sidebar_label: Python Data Types #displays in sidebar
+sidebar_position: 4
+tags:
+  [
+    python,
+    introduction of python,
+    Data Type,
+
+  ]
+description: Learn all standard data types in Python with examples and explanations.
+
+---
+
+
+# Python Data Types
+
+In Python, every value has a **data type**. Data types define the nature of a value, and Python provides a wide variety of built-in data types to handle different kinds of data. Understanding these is crucial for effective programming.
+
+---
+
+## Data Types in Python
+
+| **Category**      | **Data Type**                          |
+|------------------|----------------------------------------|
+| Text Type         | `str`                                  |
+| Numeric Types     | `int`, `float`, `complex`              |
+| Sequence Types    | `list`, `tuple`, `range`               |
+| Mapping Type      | `dict`                                 |
+| Set Types         | `set`, `frozenset`                     |
+| Boolean Type      | `bool`                                 |
+| Binary Types      | `bytes`, `bytearray`, `memoryview`     |
+| None Type         | `NoneType`                             |
+
+---
+
+##  Text Type: `str`
+
+A sequence of Unicode characters.
+
+```python
+name = "Dhruba"
+````
+
+You can perform operations like:
+
+* Slicing
+* Concatenation
+* Length check with `len()`
+
+---
+
+## Numeric Types
+
+### `int`
+
+Whole numbers:
+
+```python
+age = 25
+```
+
+### `float`
+
+Decimal numbers:
+
+```python
+pi = 3.14
+```
+
+### `complex`
+
+Numbers with real and imaginary parts:
+
+```python
+z = 2 + 3j
+```
+
+---
+
+## Sequence Types
+
+### `list`
+
+Mutable, ordered sequence:
+
+```python
+fruits = ["apple", "banana", "cherry"]
+```
+
+### `tuple`
+
+Immutable, ordered sequence:
+
+```python
+dimensions = (1024, 768)
+```
+
+### `range`
+
+Represents a sequence of numbers:
+
+```python
+nums = range(5)
+```
+
+---
+
+## Mapping Type: `dict`
+
+Unordered collection of key-value pairs:
+
+```python
+person = {
+  "name": "Alice",
+  "age": 30
+}
+```
+
+---
+
+## Set Types
+
+### `set`
+
+Unordered, mutable, no duplicates:
+
+```python
+unique_ids = {1, 2, 3}
+```
+
+### `frozenset`
+
+Immutable version of a set:
+
+```python
+readonly_ids = frozenset([1, 2, 3])
+```
+
+---
+
+## Boolean Type: `bool`
+
+Only `True` or `False`:
+
+```python
+is_active = True
+```
+
+---
+
+## Binary Types
+
+### `bytes`
+
+Immutable byte sequence:
+
+```python
+b = b"Hello"
+```
+
+### `bytearray`
+
+Mutable version:
+
+```python
+ba = bytearray([65, 66, 67])
+```
+
+### `memoryview`
+
+Provides memory-efficient access:
+
+```python
+mv = memoryview(bytes([1, 2, 3]))
+```
+
+---
+
+## None Type
+
+Represents no value:
+
+```python
+response = None
+```
+
+---
+
+## Type Checking and Conversion
+
+### Check type
+
+```python
+type(3.14)  # Output: <class 'float'>
+```
+
+### Type Conversion
+
+```python
+int("5")     # Output: 5
+str(10)      # Output: "10"
+list("abc")  # Output: ['a', 'b', 'c']
+```
+
+---
+
+## Conclusion
+
+Python provides a variety of built-in data types to handle data in efficient and expressive ways. Knowing when and how to use each data type is essential for writing clean and effective Python code.
@@ -2,7 +2,7 @@
 id: setup-environment
 title: Setting up your development environment
 sidebar_label: Setting up environment
-sidebar_position: 3
+sidebar_position: 5
 tags:
   [
     html,