📌 A structured compilation of my learnings from the "Programming in Python" course, part of the Meta Backend Developer specialization on Coursera.

This repository serves as a comprehensive Python resource, documenting key concepts, hands-on exercises, and structured explanations to reinforce learning. It is continuously updated as I progress through the course.

I am dedicated to coding daily and enhancing my Python programming skills.
This repository will evolve over time with:
✔️ New Python concepts
✔️ Optimized code implementations
✔️ Well-structured explanations

📈 My goal is to track my progress, practice efficiently, and contribute to the open-source coding community.

PYTHON/ │── BasicsOfPython/ │ ├── 1HelloWorld.py │ ├── 2PythonSyntax.py │ ├── 3Function.py │ ├── 4Variables.py │ ├── 5Datatypes.py │ ├── 6Strings.py │ ├── 7UserInput.py │ │── ControlFlow&Conditionals/ │ ├── 1Math&LogicalOp.py │ ├── 2ControlFlow.py │ ├── 3MatchStatement.py │ ├── 4LoopingConstructs.py │ ├── 5NestedLoops.py │ │── Functions&DS/ │ ├── 1Functions.py │ ├── 2VariableScope.py │ │── README.md 

✔️ Writing the first Python program (HelloWorld.py)
✔️ Python syntax and indentation rules
✔️ Functions, Variables, and Data Types
✔️ String Manipulation and User Input Handling

✔️ Math & Logical Operators
✔️ Conditional Statements (if-elif-else)
✔️ Match (Switch) Statement
✔️ Looping Constructs (for, while)
✔️ Nested Loops & Complexity

✔️ Function Definition & Calling
✔️ Variable Scope (global vs local)
✔️ Lists, Tuples, Sets, and Dictionaries
✔️ Exception Handling & Error Handling
✔️ File Handling (Creating, Reading, Writing Files)

✔️ Procedural Programming Concepts
✔️ Algorithm Design & Complexity (Big-O Notation)
✔️ Functional Programming (Pure Functions, Recursion, Map & Filter)
✔️ Object-Oriented Programming (OOP)
✔️ Classes, Instances, and Methods
✔️ Parent vs. Child Classes, Abstract Classes

✔️ Importing & Using Python Modules
✔️ Namespacing and Scoping
✔️ Python Libraries: NumPy, Pandas, Matplotlib
✔️ Machine Learning & AI Libraries: PyTorch, TensorFlow
✔️ Writing & Running Tests with PyTest
✔️ Test-Driven Development (TDD)

✔️ Strengthen problem-solving skills through Python.
✔️ Maintain structured notes and well-organized scripts.
✔️ Track learning progress with consistent commits.
✔️ Complete hands-on exercises and mini-projects for practical application.

1️⃣ Clone the repository

git clone https://github.com/Madhusolanki48/Python-Compendium.git cd PYTHON

2️⃣ Navigate through the subfolders to explore specific topics.
3️⃣ Run Python scripts using:

python filename.py

4️⃣ Check for new updates as I progress through the course.

✅ Add real-world projects to reinforce concepts.
✅ Expand data structures and algorithms implementations.
✅ Introduce testing and debugging techniques.

💡 Consistently Learning & Growing! 🚀
📌 This repository is regularly updated as I advance through the course.