Data Types in Python

Author: app-generator

docs/technologies/python/data-types.mdx

@@ -0,0 +1,97 @@
+---
+title:         Data Types in Python 
+sidebar_label: Data Types
+---
+
+# Data Types in Python
+
+<SubHeading>Learn more about Data Types in Python (with Samples)</SubHeading>
+
+Python supports various data types that allow you to work with different kinds of data. 
+
+Here's an overview of **common data types in Python**:
+
+## ✅ **Numeric Data Types**
+
+- **int**: Represents integers, e.g., `5`, `-10`, `1000`.
+- **float**: Represents floating-point numbers (real numbers), e.g., `3.14`, `0.001`, `2.0`.
+- **complex**: Represents complex numbers, e.g., `3 + 4j`, where `3` is the real part and `4` is the imaginary part.
+
+## ✅ **Text Data Type**
+
+- **str**: Represents strings of text, e.g., `"Hello, World"`, `'Python'`, `"123"`.
+
+## ✅ **Boolean Data Type**
+
+- **bool**: Represents boolean values, either `True` or `False`. Used for logical operations and control flow.
+
+## ✅ **Sequence Types**
+
+- **list**: Ordered, mutable sequences of elements, e.g., `[1, 2, 3]`, `['apple', 'banana', 'cherry']`.
+- **tuple**: Ordered, immutable sequences, e.g., `(1, 2, 3)`, `('red', 'green', 'blue')`.
+- **range**: Represents a sequence of numbers, often used in loops, e.g., `range(5)` produces `0, 1, 2, 3, 4`.
+
+## ✅ **Mapping Type**
+
+- **dict**: Represents dictionaries, which are collections of key-value pairs, e.g., `{'name': 'Alice', 'age': 30}`.
+
+## ✅ **Set Types**
+
+- **set**: Represents an unordered collection of unique elements, e.g., `{1, 2, 3}`.
+- **frozenset**: Similar to a set but is immutable.
+
+## ✅ **Binary Data Types**
+
+- **bytes**: Represents sequences of bytes, e.g., `b'hello'`.
+- **bytearray**: Mutable sequences of bytes.
+
+## ✅ **None Type**
+
+- **None**: Represents the absence of a value or a null value.
+
+## ✅ **Custom Classes**
+
+You can define your own classes and create custom data types in Python.
+
+
+These are the fundamental data types in Python. You can perform various operations and manipulations on these data types to process and manipulate data in your Python programs.
+
+## ✅ **Coding Sample**
+
+Here's a quick example:
+
+```python
+# Numeric data types
+age = 30
+height = 5.9
+complex_num = 3 + 4j
+
+# Text data type
+name = "Alice"
+
+# Boolean data type
+is_student = True
+
+# Lists
+fruits = ['apple', 'banana', 'cherry']
+
+# Dictionary
+person = {'name': 'John', 'age': 25}
+
+# Sets
+unique_numbers = {1, 2, 3}
+
+# None type
+no_value = None
+```
+
+## ✅ In Summary
+
+Understanding these data types is fundamental to writing Python code and performing various operations on data in Python.
+
+## ✅ Resources
+
+- 👉 Access [AppSeed](https://appseed.us/) for more starters and support 
+- 👉 [Deploy Projects on Aws, Azure and DO](https://www.docs.deploypro.dev/) via **DeployPRO**
+- 👉 Create landing pages with [Simpllo, an open-source site builder](https://www.simpllo.com/)
+- 👉 Build apps with [Django App Generator](https://app-generator.dev/django/) (free service)