Learn Intermediate Python 3 Course Syllabus

Overview: This course bridges the gap between beginner and intermediate Python programming, guiding you through essential language features and best practices used in real-world applications. You'll deepen your understanding of functions, object-oriented programming, testing, and Python's internal mechanics through hands-on coding and project-based learning. With approximately 10 hours of interactive content, the course is structured to build confidence and code quality, preparing you for roles in software development, testing, and automation.

Module 1: Welcome to Intermediate Python 3

Estimated time: 0.3 hours

• Understand course structure and learning environment
• Review prerequisites for success
• Set expectations for skill development

Module 2: Function Arguments

Estimated time: 1 hour

• Use *args and **kwargs for variable-length arguments
• Apply default arguments and keyword-only parameters
• Master argument ordering rules in function definitions
• Utilize argument unpacking with * and ** operators

Module 3: Namespaces & Scope

Estimated time: 1 hour

• Explore Python’s LEGB rule for name resolution
• Distinguish between local, global, and nonlocal scopes
• Understand how nested functions affect variable access
• Analyze scope behavior in closures and functions

Module 4: Functions Deep Dive

Estimated time: 1.5 hours

• Write anonymous functions using lambda expressions
• Apply map(), filter(), and reduce() for functional patterns
• Implement decorators to enhance function behavior
• Use closures to maintain state in nested functions

Module 5: Object-Oriented Programming

Estimated time: 2 hours

• Design classes with encapsulation, inheritance, and polymorphism
• Implement special methods like __str__ and __repr__
• Use @property decorator for managed attribute access
• Follow class design best practices for readability and reuse

Module 6: Unit Testing

Estimated time: 1.5 hours

• Write tests using Python’s unittest module
• Organize test cases and test suites
• Handle exceptions and assert expected behaviors
• Cover error handling in test design

Module 7: Iterators & Generators

Estimated time: 1.5 hours

• Create iterators using __iter__ and __next__ methods
• Define generators with yield for lazy evaluation
• Use generators for memory-efficient data processing

Module 8: Specialized Collections & Context Managers

Estimated time: 1.5 hours

• Work with defaultdict, deque, and set from collections
• Use with statements for resource management
• Build custom context managers using classes and decorators

Prerequisites

• Familiarity with basic Python syntax and data types
• Experience writing simple functions and control structures
• Basic understanding of classes and objects in Python

What You'll Be Able to Do After

• Write flexible and reusable functions using advanced features
• Explain and control variable scope and namespace behavior
• Design robust object-oriented Python programs
• Develop and run comprehensive unit tests for code reliability
• Use iterators, generators, and context managers for efficient code