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

• Overview
• Installation
• Modules

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

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

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

advanced_functions.pyDemonstrates the use offunctools.partial and functional programming techniques.

cached_property.pyShows how to usefunctools.cached_property to cache computed values in a class.

concurrency.pyCompares synchronous and asynchronous HTTP requests usingasyncio andrequests.

data_classes.pyImplements Python data classes with custom__post_init__ andfield default values.

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

generators.pyExplains Python generators with examples ofyield and coroutine-style data processing.

requests_utils.pyContains helper functions for synchronous and asynchronous HTTP requests usingrequests.

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

single_dispatch.pyUsesfunctools.singledispatch for function overloading based on argument type.