Course Outline
Module 1: Introduction to Python
- Introduction to programming and Python’s role
- Installing Python and development environment setup
- Basic syntax and data types (numbers, strings, lists, tuples, dictionaries)
- Variables, assignments, and basic operations
- Writing and executing simple Python programs
Module 2: Control Structures and Functions
- Conditional statements (if, else, elif)
- Loops (for, while) and iteration
- Writing and using functions
- Function parameters and return values
- Scope and namespaces
Module 3: Data Structures and File Handling
- Lists: indexing, slicing, and manipulation
- Tuples and sets
- Dictionaries: creating, accessing, and updating
- Reading from and writing to files
- Exception handling and error management
Module 4: Object-Oriented Programming (OOP)
- Introduction to OOP concepts
- Classes and objects
- Constructors and destructors
- Inheritance and polymorphism
- Encapsulation and abstraction
Module 5: Advanced Python Concepts
- Generators and iterators
- Decorators: purpose and usage
- Lambda functions and map-reduce-filter operations
- List comprehensions and generator expressions
- Using libraries and modules: importing and using external code
Module 6: Working with Data
- Introduction to data manipulation libraries (e.g., NumPy, Pandas)
- Data analysis and manipulation using Pandas
- Introduction to data visualization with Matplotlib
Module 7: Web Development with Python
- Introduction to web development and backend programming
- Basics of HTML, CSS, and web requests
- Building a simple web application using a micro web framework like Flask
Module 8: Databases and SQL
- Introduction to databases and database management systems
- Using SQLite with Python
- Performing basic SQL operations with Python
- Connecting Python applications to databases
Module 9: Testing and Debugging
- Importance of testing and debugging
- Writing unit tests using the built-in
unittestframework - Debugging techniques and tools
- Handling exceptions and errors effectively
Module 10: Final Project
- Integrating knowledge from all modules into a larger project
- Planning, designing, and implementing a significant Python application
- Version control using Git and GitHub
- Presenting and demonstrating the final project
Module 11: Best Practices and Further Learning
- Writing clean and maintainable code
- Code documentation and comments
- Collaborative coding and code review
- Exploring further resources, libraries, and frameworks
- Preparing for Python certification exams and advancing your Python skills
Learning Outcome:-
Throughout the course, there should be a balance between theoretical concepts and practical coding exercises. Additionally, hands-on projects and assignments should be included to provide students with real-world programming experience. Remember to adapt this outline based on the expected duration of the course and the specific needs of the target audience.
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