https://github.com/f-ssemwanga/python-award-option

Python-Award
https://github.com/f-ssemwanga/python-award-option

Last synced: 5 months ago
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Python-Award

• Host: GitHub
• URL: https://github.com/f-ssemwanga/python-award-option
• Owner: f-ssemwanga
• Created: 2024-12-10T19:56:55.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-04-30T14:30:17.000Z (5 months ago)
• Last Synced: 2025-04-30T14:52:54.778Z (5 months ago)
• Language: Jupyter Notebook
• Size: 310 KB
• Stars: 2
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Python-Award-Option by Mr Ssemwanga

### Overview

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

### Programme of Study

1. **Introduction to Python Programming**

   - Provides a solid foundation in Python syntax and basic programming concepts.

2. **Control Structures**

   - Teaches how to use loops and conditional statements to control the flow of a program.

3. **Functions and Modules**

   - Covers the creation and use of functions and modules to write reusable and organised code.

4. **Data Structures**

   - Introduces lists, dictionaries, sets, and tuples, essential for managing collections of data.

5. **Validation and Error Handling**

   - Focuses on writing robust code by handling errors and validating input.

6. **File Handling**

   - Explains how to read from and write to files, a crucial skill for many applications.

7. **Basics of Object-Oriented Programming**

   - Introduces the principles of OOP, including classes and objects, to model real-world entities.

8. **Version Control**

   - Teaches the basics of version control using Git, essential for collaborative development and provides an online repository to showcase skills

9. **Python and Database Integration**

   - Covers how to connect Python applications to databases to store and retrieve data.

10. **Working with Jupyter Notebooks**

    - Demonstrates how to use Jupyter Notebooks for interactive coding and data analysis.

### Justification

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.