A structured collection of Python fundamentals, exercises, and learning notes designed to build a strong programming foundation.
This repository documents my journey of learning Python by implementing core programming concepts, experimenting with code, and organizing knowledge through Jupyter notebooks and Python scripts.
The goal is to create a well-structured reference for Python basics that can also help beginners understand how fundamental programming concepts work in practice.
| Folder | What it Covers |
|---|---|
loops/ |
for loops, while loops, iteration patterns, and step-by-step examples |
Functions/ |
Defining functions, parameters, return values, and function-based exercises |
Lambda_functions/ |
Lambda expressions, anonymous functions, and use with map, filter, sorted |
list/ |
List creation, indexing, slicing, and common list operations |
Tuples/ |
Tuple basics, immutability, and practical use cases |
Dictionary/ |
Dictionary creation, access, iteration, and manipulation |
OOP/ |
Classes, objects, inheritance, encapsulation, and OOP design patterns |
Advance Python/Decorators/ |
Function decorators, @wraps, and real-world decorator patterns |
string_fundamentals/ |
String methods, formatting, slicing, and common operations |
Notebooks/ |
Jupyter notebooks with interactive examples and concept explanations |
Practical_application/ |
Small projects applying core Python concepts end-to-end |
go-python-integration/ |
Calling Python from Go — cross-language integration examples |
| File | Description |
|---|---|
calculatorV1.py |
Basic calculator — first iteration |
calculatorV2.py |
Advanced calculator with operator precedence and parentheses support |
math_menu.py |
Interactive math menu using functions |
cursor_game.py |
Simple cursor-based game |
Automated_Email_Sender.py |
Script to send automated emails via Python |
This project focuses on building strong programming fundamentals, including:
- Python syntax and structure
- Writing clean and readable functions
- Understanding loops and control flow
- Working with common data structures (lists, tuples, dictionaries)
- Object-oriented programming principles
- Logical problem solving and practical applications
The repository is structured to move from basic concepts toward practical coding exercises and real-world patterns.
- Python 3 — core language
- Jupyter Notebook — interactive learning and concept exploration
- Go — used in the cross-language integration examples
Many beginners jump directly into advanced topics like machine learning or frameworks without building strong fundamentals.
This repository focuses on:
- Strengthening core programming skills
- Practicing logical thinking
- Creating a structured learning path for Python
A strong foundation makes it easier to learn data science, machine learning, and systems programming later.
- Start with
loops/,Functions/, andlist/if you're new to Python - Move into
Dictionary/,Tuples/, andOOP/once you're comfortable with the basics - Explore
Advance Python/Decorators/for more advanced patterns - Check the
Notebooks/folder for interactive walkthroughs - Look at
Practical_application/and the root scripts to see concepts applied in real code
- Add unit tests for all scripts
- Standardize folder naming conventions
- Expand Jupyter notebooks with more worked examples
- Add a dedicated
exercises/folder with challenge problems and solutions
A huge thank you to everyone who has contributed to this repository — your time, effort, and knowledge make this project better for every learner! 🙌
| Username | Profile |
|---|---|
| Eamon2009 | @Eamon2009 |
| codeaddict-119 | @codeaddict-119 |
| breaker865-netizen | @breaker865-netizen |
All contributions are welcome! 🐍
MIT