Basic Python Programming Course:
Week 1: Introduction to Python
- Introduction to Python and its features
- Setting up Python environment (interpreter, IDEs)
- Writing and running your first Python program
- Python Data Types
- Variables and basic operations
Week 2: Control Flow
- Conditional statements: if, elif, else
- Looping constructs: for loops, while loops
- Using loops and conditionals together
- Understanding indentation in Python
Week 3: Data Structures Part 1
- Lists: creation, indexing, slicing, appending, and modifying
- Tuples: creation, accessing elements, immutability
- Sets: creation, adding/removing elements, set operations
Week 4: Data Structures Part 2
- Dictionaries: creation, accessing elements, adding/removing items
- Nested data structures
- List comprehensions
- Working with strings: methods, formatting, slicing
Week 5: Functions
- Defining and calling functions
- Function arguments and return values
- Scope and lifetime of variables
- Built-in functions vs. user-defined functions
Week 6: File Handling
- Opening, reading, writing, and closing files
- File modes: read, write, append
- Using
withstatement for file handling - Handling exceptions using
tryandexcept
Week 7: Modules and Packages
- Introduction to modules and packages
- Creating and importing modules
- Exploring the Python Standard Library
- Installing and using third-party packages using pip
Week 8: Introduction to Object-Oriented Programming (OOP)
- Understanding OOP concepts: classes and objects
- Defining classes and creating objects
- Attributes, methods, and constructors
- Encapsulation, inheritance, and polymorphism basics
Week 9: Advanced OOP Concepts
- Class attributes and methods
- Inheritance and method overriding
- Multiple inheritance and method resolution order
- Special methods (dunder/magic methods)
Advanced Python Programming Course:
Week 1: Decorators and Generators
- Understanding decorators and their applications
- Creating and using decorators
- Introduction to generators and iterators
- Writing generator functions and using generator expressions
Week 2: Context Managers
- Understanding context managers and their use cases
- Implementing context managers using classes and contextlib
- Writing custom context managers using the
withstatement
Week 3: Concurrency and Parallelism
- Introduction to concurrency vs. parallelism
- Threading and multiprocessing in Python
- Using the
threadingandmultiprocessingmodules - Synchronization and communication between threads/processes
Week 4: Asynchronous Programming
- Understanding asynchronous programming
- Introduction to coroutines and the
asynciomodule - Writing asynchronous code using
asyncandawaitkeywords - Managing asynchronous tasks and event loops
Week 5: Advanced Data Structures
- Collections module:
namedtuple,deque,Counter,defaultdict - Advanced techniques with dictionaries and sets
- Immutable data structures and their benefits
- Performance considerations with data structures
Week 6: Functional Programming
- Introduction to functional programming concepts
- First-class functions, higher-order functions, and lambda functions
- Functional programming tools:
map,filter,reduce - Comprehensions and functional programming idioms
Week 7: Design Patterns
- Introduction to Design Patterns
- Common design patterns in Python: Singleton, Factory, Decorator, Observer
- Implementing design patterns in Python
- Best practices and considerations when using design patterns
Week 8: Testing and Debugging
- Writing unit tests using the
unittestmodule - Test-driven development (TDD) practices
- Debugging techniques: using breakpoints, logging, and debugging tools
- Performance profiling and optimization strategies
Week 9: Web Development with Python
- Introduction to web frameworks (Django, Flask)
- Setting up a basic web application using Flask
- Routing, views, and templates in Flask
- Integrating databases with Flask (SQLAlchemy)
These course outlines provide a structured approach to learning Python, starting from the basics and gradually progressing to more advanced topics. Each week covers specific concepts and includes practical exercises and projects to reinforce learning. Adjustments can be made based on the target audience’s proficiency level and specific learning objectives.