Python
The Last Python Course You Need
Course Modules
python basics
3 lessons
strings
3 lessons
control flow
3 lessons
data structures
3 lessons
functions
4 lessons
modules packages
3 lessons
file handling
3 lessons
error handling
4 lessons
oop
4 lessons
advanced functions
4 lessons
advanced data
3 lessons
real development
3 lessons
regex
3 lessons
concurrency
3 lessons
database
3 lessons
networking apis
3 lessons
testing
3 lessons
packaging
3 lessons
performance
3 lessons
data science ml
3 lessons
automation
3 lessons
web development
3 lessons
security
3 lessons
design patterns
3 lessons
type hints
3 lessons
cli applications
3 lessons
api development
3 lessons
docker deployment
3 lessons
debugging profiling
3 lessons
real world projects
9 lessons
python learning.egg info
0 lessons
🐍 Complete Python Learning Curriculum
A comprehensive Python learning path from beginner to advanced with 30 structured modules, hands-on exercises, and real-world projects.
Welcome to Your Python Journey!
This is a comprehensive Python learning path from beginner to advanced. Each folder contains detailed lessons with explanations and practical examples.
📚 Course Structure
| # | Topic | Level | Description |
|---|---|---|---|
| 01 | Python Basics | 🟢 Beginner | Syntax, variables, operators, I/O |
| 02 | Strings | 🟢 Beginner | String manipulation and formatting |
| 03 | Control Flow | 🟢 Beginner | Conditions and loops |
| 04 | Data Structures | 🟢 Beginner | Lists, tuples, dicts, sets |
| 05 | Functions | 🟡 Intermediate | Functions, lambda, recursion |
| 06 | Modules & Packages | 🟡 Intermediate | Imports, pip, virtual envs |
| 07 | File Handling | 🟡 Intermediate | Reading/writing files |
| 08 | Error Handling | 🟡 Intermediate | Exceptions and error management |
| 09 | OOP | 🟡 Intermediate | Object-oriented programming |
| 10 | Advanced Functions | 🔴 Advanced | Decorators, generators, closures |
| 11 | Advanced Data | 🔴 Advanced | Collections, memory, copying |
| 12 | Dev Modules | 🔴 Advanced | os, sys, pathlib, logging |
| 13 | Regex | 🔴 Advanced | Regular expressions |
| 14 | Concurrency | 🔴 Advanced | Threading, async, multiprocessing |
| 15 | Database | 🔴 Advanced | SQLite, ORMs |
| 16 | Networking | 🔴 Advanced | HTTP, sockets, APIs |
| 17 | Testing | 🔴 Advanced | unittest, pytest |
| 18 | Packaging | 🔴 Advanced | Distribution, PyPI |
| 19 | Performance | 🔴 Advanced | Optimization, profiling |
| 20 | Data Science | 🔴 Advanced | NumPy, Pandas, ML, Jupyter |
| 21 | Automation | 🔴 Advanced | Scripting, web scraping |
| 22 | Web Development | 🔴 Advanced | Flask, Django, FastAPI |
| 23 | Security | 🔴 Advanced | Hashing, encryption |
| 24 | Design Patterns | 🔴 Advanced | Singleton, Factory, Observer, etc. |
| 25 | Type Hints | 🟡 Intermediate | Static typing, generics, protocols |
| 26 | CLI Applications | 🔴 Advanced | argparse, Click, rich terminal |
| 27 | API Development | 🔴 Advanced | REST, FastAPI, authentication |
| 28 | Docker & Deployment | 🔴 Advanced | Containers, CI/CD, production |
| 29 | Debugging & Profiling | 🔴 Advanced | pdb, profiling, memory tracking |
| 30 | Real World Projects | 🔴 Advanced | Complete production applications |
🗺️ Learning Paths
See LEARNING_PATH.md for structured learning tracks:
- •🟢 Beginner Foundation - Start here if new to programming
- •🌐 Web Developer Track - Build APIs and web applications
- •📊 Data Scientist Track - Data analysis and machine learning
- •⚙️ DevOps Engineer Track - Automation and deployment
- •🔴 Advanced Python Track - Become a Python expert
🚀 How to Use This Curriculum
- •Start from Folder 01 and work through sequentially
- •Each folder has:
- •
README.md- Concept explanation - •
examples.py- Practical code examples - •
exercises.py- Practice problems - •
solutions.py- Reference solutions (some modules)
- •
- •Run the examples to see how code works
- •Complete exercises before moving to the next topic
🏗️ Mini-Projects
In 30_real_world_projects/ you'll find complete working projects:
- •01_task_api/ - REST API with FastAPI, JWT auth, SQLAlchemy, Docker
- •02_cli_tool/ - Developer CLI with Click and Rich
- •03_web_scraper/ - Async web scraper with aiohttp and BeautifulSoup
Each project demonstrates production-ready patterns and best practices.
🤝 Contributing
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
💡 Tips for Learning
- •🔁 Practice daily - Consistency beats intensity
- •📝 Take notes - Write down what you learn
- •🐛 Debug errors - Errors teach you the most
- •🏗️ Build projects - Apply concepts in real projects
- •🤝 Ask questions - Never hesitate to seek help
🛠️ Setup Required
# Check Python version (3.8+ recommended)
python3 --version
# Create a virtual environment (recommended)
python3 -m venv venv
source venv/bin/activate # Linux/Mac
# venv\Scripts\activate # Windows
# Install any packages as needed
pip install <package_name>
⭐ Star History
If you find this curriculum helpful, please consider giving it a star! ⭐
Happy Learning! 🎉