🐍 Python Documentation Notes

📘 Overview

This repository contains a comprehensive set of notes covering Python programming concepts, organized in a structured and progressive format.
It is designed for learners who wish to master Python—from setup to advanced programming techniques such as generators, OOP design, and packaging.

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📂 Folder Structure

Notes/
│
├── 00_Setup.md
├── 02_Working_with_data/
├── 03_Program_organization/
├── 04_Classes_objects/
├── 05_Object_model/
├── 06_Generators/
├── 07_Advanced_Topics/
├── 08_Testing_debugging/
├── 09_Packages/
├── Contents.md
├── InstructorNotes.md
└── Introduction/

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🧩 Module Descriptions

00_Setup.md

Covers Python installation, environment setup, and configuration with Detailed Information.
Includes instructions for installing Python, setting up IDEs like VS Code or PyCharm, and managing virtual environments.

02_Working_with_data/

Explores Python’s data structures and data manipulation techniques.
Topics include:

• Lists, tuples, sets, and dictionaries
• File I/O operations
• Working with CSV, JSON, and other data formats

03_Program_organization/

Teaches modular programming practices in Python.
Learn about:

• Functions and namespaces
• Code reuse and maintainability
• Structuring Python scripts for clarity and scalability

04_Classes_objects/

Introduces Object-Oriented Programming (OOP) principles:

• Defining classes and objects
• Constructors and destructors
• Instance vs class variables
• Encapsulation and inheritance

05_Object_model/

Dives deeper into Python’s internal object model and OOP mechanisms:

• Understanding __init__, __str__, __repr__
• Method resolution order (MRO)
• Customizing class behavior using special methods

06_Generators/

Explains iterators and generators, key for efficient looping:

• The yield keyword
• Lazy evaluation
• Generator expressions and performance benefits

07_Advanced_Topics/

Focuses on advanced Python concepts such as:

• Decorators and context managers
• Functional programming with map(), filter(), and reduce()
• Lambda functions
• Error handling best practices

08_Testing_debugging/

Covers software reliability and debugging tools:

• Writing unit tests using unittest or pytest
• Debugging with pdb
• Logging and exception tracing

09_Packages/

Explains how to structure Python projects as reusable packages:

• Creating and using modules
• __init__.py and package imports
• Installing packages with pip
• Best practices for project organization

Contents.md

A table of contents linking to all lessons and submodules.

InstructorNotes.md

Contains additional insights, exercises, or teaching guidelines to accompany the documentation.

Introduction/

Introductory materials about Python programming, goals of the documentation, and usage tips.

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🧠 Learning Outcomes

By studying these notes, you will:

• Understand both fundamentals and advanced Python concepts
• Gain hands-on knowledge in OOP, data handling, and debugging
• Learn best practices for writing efficient, maintainable, and professional Python code

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🚀 How to Use

1. Open the Notes folder.
2. Follow the sequence in Contents.md for a structured learning flow.
3. Experiment with code examples while reading.
4. Refer to InstructorNotes.md for deeper insights and exercises.

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🧾 Author / Maintainer

Prepared by: Vishal Bhingarde
Purpose: Python Programming Documentation & Learning Notes
Recommended for: Students, developers, and educators exploring Python systematically.