A comprehensive 12-week journey from Python basics to advanced applications in web development, data science, and AI
Everything you need to become a Python expert
Video Lessons
Coding Exercises
Real Projects
Weeks Duration
Detailed breakdown of what you'll learn
Master the core concepts of Python programming. Learn syntax, data types, control structures, and best practices that form the foundation of all Python development.
Installation, IDE setup, and your first Python program
Numbers, strings, booleans, and type conversion
If statements, loops, and conditional logic
Creating reusable code and organizing projects
Build a command-line application that calculates budgets, savings goals, and investment returns using all the fundamental concepts you've learned.
Dive deep into object-oriented programming concepts. Learn to design and implement classes, understand inheritance, and apply design patterns for scalable code.
Creating classes, instantiating objects, and understanding attributes
Code reuse through inheritance and method overriding
Data hiding, property decorators, and abstract classes
Common patterns like Singleton, Factory, and Observer
Design and implement a complete library system with books, members, and transactions using OOP principles and design patterns.
Build modern web applications using Python frameworks. Learn Flask and Django, create REST APIs, and integrate with databases for full-stack development.
Routes, templates, and building your first web app
SQLAlchemy, models, and database operations
Creating and consuming APIs with Flask-RESTful
Django framework, admin panel, and rapid development
Build a complete e-commerce website with user authentication, product catalog, shopping cart, and payment integration using Django.
Explore the exciting world of data science and artificial intelligence. Master NumPy, Pandas, data visualization, and machine learning fundamentals.
Arrays, mathematical operations, and scientific computing
DataFrames, data cleaning, and manipulation techniques
Matplotlib, Seaborn, and creating compelling charts
Scikit-learn, algorithms, and predictive modeling
Build a machine learning model that analyzes historical stock data and predicts future prices using regression algorithms and data visualization.
Follow this structured path to Python mastery
Master Python syntax, data types, and control structures. Build your first projects and establish coding best practices.
Learn advanced programming concepts, design patterns, and how to structure large applications effectively.
Build dynamic web applications, create APIs, and learn full-stack development with Python frameworks.
Dive into data analysis, machine learning, and artificial intelligence applications using Python's powerful libraries.
What you need to know before starting
Comfortable using a computer, installing software, and navigating file systems.
Enjoy puzzles and logical thinking. Programming is about breaking down complex problems.
Basic algebra helpful for data science modules, but not required for general programming.