Python-Codes

This repository contains Python code examples organized into different levels: Beginner, Object-Oriented, Intermediate, and Advanced Python. It's designed to help learners at various stages of Python programming build a strong foundation and tackle more complex topics.

Table of Contents

• Folder Structure
• Beginner_Python
• Object_Oriented
• Intermediate_Python
• Advanced_Python
• Prerequisites
• Run Instructions

Folder Structure

The repository is divided into the following sections:

1. Beginner_Python: Basic Python concepts.
2. Object_Oriented: Object-oriented programming examples in Python.
3. Intermediate_Python: Intermediate-level concepts such as data structures and functional programming.
4. Advanced_Python: Advanced Python topics, including metaclasses and decorators.

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Beginner_Python

This folder contains code covering the basics of Python. Each file covers a specific foundational concept:

• conditions.py: Handling conditions and boolean logic.
• data_types.py: Understanding Python data types.
• for_loops.py: Using for loops in Python.
• functions.py: Defining and using functions.
• if_elif_else.py: Implementing conditional statements.
• iteration.py: Exploring iteration concepts in Python.
• lists.py: Working with lists.
• modular.py: Demonstrating modular programming.
• optional_parameter.py: Using optional parameters in functions.
• other_methods.py: Additional built-in Python methods.
• read_file.py: Reading files in Python.
• write_file.py: Writing to files in Python.
• slice_operator.py: Using slice operator with sequences.
• string_methods.py: Applying string methods.
• try_except.py: Exception handling using try and except.
• while_loops.py: Using while loops.

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Object_Oriented

The Object_Oriented folder provides examples related to object-oriented programming in Python:

• creating_classes.py: Creation of classes in Python.
• example_public_privateclasses.py: Example of public and private classes.
• inheritance01.py: Demonstrating basic inheritance.
• inheritance02.py: Further demonstration of inheritance.
• intro_to_objects.py: Introduction to objects in Python.
• public_privateclasses.py: A look at public and private class members.
• staticclass_methods.py: Understanding static methods and class methods.

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Intermediate_Python

This folder contains intermediate Python topics, including functional programming and much more:

• counter.py: Using Counter from the collections module.
• deque.py: Working with deque objects.
• filter_functions.py: Using filter functions in Python.
• lambda_function.py: Working with lambda expressions.
• map_function.py: Demonstrating the map function.
• namedTuple.py: Working with namedtuple from the collections module.
• optional_parameter.py: Optional parameters in Python functions.
• static_class_methods.py: Further understanding of static and class methods.

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Advanced_Python

The Advanced_Python folder covers more advanced topics, including decorators, metaclasses, and more:

• context_managers.py: Understanding and using context managers.
• decorators.py: Implementing and using decorators.
• dunder_or_magic_methods.py: Understanding special or "dunder" methods in Python.
• generators.py: Using generators for efficient iteration.
• metaclasses01.py: Introduction to metaclasses in Python.
• metaclasses02.py: Further understanding of metaclasses.

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Prerequisites

• Python 3.9+

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Run Instructions

• Download the respective .py file
• Go to a terminal of your choice and run python filename.py