Python 3: From Beginner to Advanced Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
An immersive, text-driven Python course that takes you from zero to advanced proficiency with practical exercises, quizzes, and AI-guided feedback. This course spans approximately 4 hours of focused learning, structured into nine concise modules that build from foundational syntax to advanced programming concepts including object-oriented design, functional programming, GUI development, and testing. Each module combines concise theory with hands-on coding challenges, ensuring immediate application and mastery. Designed by ex-MAANG engineers, the curriculum emphasizes real-world relevance and depth, culminating in a comprehensive assessment to solidify your skills.
Module 1: Introduction
Estimated time: 0.1 hours
- Course orientation
- Python fundamentals overview
- Navigate the Educative IDE
- Set up your first Python project
Module 2: The Absolute Bare Minimum
Estimated time: 1 hours
- Variables and data types
- Operators and statements
- Loops and control flow
- Basic input/output operations
Module 3: Better Tools
Estimated time: 0.75 hours
- Objects and built-in data structures
- String methods and file I/O
- Exception handling
- Pickling and data serialization
Module 4: Classes
Estimated time: 0.6 hours
- Defining classes and constructors
- Inheritance and method overriding
- Object comparison and copy semantics
- Implementing custom object behavior
Module 5: Getting Fancy
Estimated time: 0.7 hours
- Bitwise operations
- List comprehensions and iterators
- Generators and functional programming tools
- Building data-processing pipelines
Module 6: Final Project
Estimated time: 0.2 hours
- Complete the final assessment: "I Guess We’re Doing Python Now"
- Apply concepts from all modules
- Demonstrate mastery through integrated problem-solving
Prerequisites
- No prior programming experience required
- Basic computer literacy
- Access to a web browser for using Educative IDE
What You'll Be Able to Do After
- Design and program effectively in Python 3 using core constructs
- Work confidently with built-in data structures and advanced features like generators
- Apply object-oriented programming principles including inheritance and method overriding
- Build and test GUI applications using Tkinter
- Implement unit testing and file I/O for production-ready code