Python Mastery Tutorial 🐍

A structured personal learning repository covering the entire Python ecosystem — from Hello World to advanced design patterns.

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📂 Project Structure

#	Topic	Key Concepts
01	Data Types	Strings, Integers, Floats, Type Casting
02	Variables	Assignment, Naming Conventions, Memory
03	Boolean Logic	Logical Operators, Truth Tables
04	Built-in Methods	String & Numeric helper functions
05	Lists	Creation, Modification, List Methods
06	Indexing & Slicing	Accessing sequences, Step values
07	Dictionaries	Key-Value pairs, JSON-like structures
08	Sets	Uniqueness, Set Theory (Unions/Intersections)
09	Tuples	Immutability, Packing/Unpacking
10	Conditionals	If/Else/Elif, Match-Case
11	Loops	For, While, Nested Loops
12	Functions & Recursion	UDFs, Scope, Recursive Calls
13	Exceptions	Try/Except/Finally, Error Handling
14	File I/O	Reading/Writing files, Context Managers (with)
15	Regular Expressions	Pattern matching with re module
16	OOP	Classes, Inheritance, Polymorphism
17	Modules & Libraries	Pip, Importing, Standard Library
18	Unit Testing	unittest framework, Pytest, .ipynb tests
19	Et Cetera (Advanced)	Decorators, Generators, Iterators, Closures
20	User Input & Errors	Interactive CLI tools
21	Namespace & Scope	Local vs Global, LEGB Rule

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🚀 Advanced Highlights — Folder 19

The advanced section explores the "Pythonic" ways of writing clean, efficient code:

Feature	Description
Decorators	Enhance function behavior without modifying source
Generators	Memory-efficient sequences using yield
Walrus Operator	Assignment expressions introduced in Python 3.8
Type Hinting	Improves code readability and catches errors early

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🛠️ How to Use This Repo

1. Clone the repository

git clone https://github.com/sanaurrehmanarain/python-mastery-vault.git
cd python-mastery-vault

2. Explore the folders

Each folder is numbered and named by topic. Inside you'll find .py and .ipynb files with code examples and notes.

3. Run the examples

python 01_data_types/examples.py

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📋 Requirements

• Python 3.8+
• Optional: Jupyter Notebook for .ipynb files

pip install notebook

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Created with ❤️ to document my path to becoming a Python Developer