Advanced Python Concepts

This repository contains various Python scripts demonstrating advanced Python concepts such as decorators, generators, concurrency, and more.

Table of Contents

• Overview
• Installation
• Modules

Overview

The repository covers various advanced Python topics with practical implementations, including:

• Functional programming (e.g., functools.partial, singledispatch)
• Concurrency using asyncio
• Data classes for structured objects
• Generators for efficient data handling
• Cached properties for optimized attribute access
• HTTP requests (both synchronous and asynchronous)

Installation

Clone the Repository

git clone https://github.com/matin-ghorbani/advanced-python.git
cd advanced-python

Modules

advanced_functions.py Demonstrates the use of functools.partial and functional programming techniques.

cached_property.py Shows how to use functools.cached_property to cache computed values in a class.

concurrency.py Compares synchronous and asynchronous HTTP requests using asyncio and requests.

data_classes.py Implements Python data classes with custom __post_init__ and field default values.

dock_typing.py Demonstrates how to use Python's type hints for better code clarity and static analysis.

generators.py Explains Python generators with examples of yield and coroutine-style data processing.

requests_utils.py Contains helper functions for synchronous and asynchronous HTTP requests using requests.

setter_getter.py Illustrates the use of Python's @property and @property.setter decorators for encapsulation.

single_dispatch.py Uses functools.singledispatch for function overloading based on argument type.