This is a Python programming course I have set up for students who have not taken programming lessons at GCSE but want skills to prepare them for Post-18 studies
- Introduction to Python Programming
- Provides a solid foundation in Python syntax and basic programming concepts.
- Control Structures
- Teaches how to use loops and conditional statements to control the flow of a program.
- Functions and Modules
- Covers the creation and use of functions and modules to write reusable and organised code.
- Data Structures
- Introduces lists, dictionaries, sets, and tuples, essential for managing collections of data.
- Validation and Error Handling
- Focuses on writing robust code by handling errors and validating input.
- File Handling
- Explains how to read from and write to files, a crucial skill for many applications.
- Basics of Object-Oriented Programming
- Introduces the principles of OOP, including classes and objects, to model real-world entities.
- Version Control
- Teaches the basics of version control using Git, essential for collaborative development and provides an online repository to showcase skills
- Python and Database Integration
- Covers how to connect Python applications to databases to store and retrieve data.
- Working with Jupyter Notebooks
- Demonstrates how to use Jupyter Notebooks for interactive coding and data analysis.
This programme of study forms a strong foundation for students' programming skills post-18 studies for several reasons:
- Comprehensive Coverage: The topics cover essential programming concepts and skills that are fundamental to any further study or career in computer science.
- Practical Skills: Students will learn practical skills such as file handling, database integration, and version control, which are directly applicable in real-world scenarios.
- Problem-Solving: By learning control structures, functions, and error handling, students will develop strong problem-solving abilities.
- Preparation for Advanced Topics: The basics of object-oriented programming and data structures prepare students for more advanced topics they will encounter in university courses.
- Interactive Learning: Working with Jupyter Notebooks provides an interactive and engaging way to learn and experiment with code.