Welcome to the Python Learning Platform, a web application designed to help students improve their Python programming skills through a structured learning path. The platform provides resources at three difficulty levels: Beginner, Advanced, and Expert, with a progression system that includes tests, badges, and statistics tracking.
The website is live and can be accessed here: Python Learning Platform.
- The material is divided into three difficulty levels: Beginner, Advanced, and Expert.
- Each level consists of multiple chapters to guide users through the learning process.
- Chapter content includes written material and programming concepts tailored to the user's level.
- After reading each chapter, students can take a test composed of multiple-choice, true/false, or fill-the-gap questions.
- Passing score is set at 60% or higher; failing requires the user to revisit the material before reattempting the test.
- On their first login, students can opt to take an initial test to be placed at the appropriate level. If they score well, they can unlock chapters and skip easier ones.
- Progress is rewarded with badges based on chapter completion and total score points.
- Profile pages show progress, badges earned, and a breakdown of personal statistics.
- Track how far you’ve advanced through the chapters and view your total accumulated score.
- Teachers have special access to the platform:
- Add test questions to any chapter.
- Inspect all students' progress, including detailed analytics and performance metrics.
- To gain teacher access, email antoniskarnavas@yahoo.com with your request.
- If you encounter any issues, such as bugs, downtime, or you have suggestions for improvement, feel free to email antoniskarnavas@yahoo.com for assistance.
- Sign up as a student and start learning at your preferred difficulty level.
- Take tests to evaluate your progress and move forward through the chapters.
- Earn badges and track your statistics as you work through the material.
- Teachers can request access to contribute to the content and track student performance.
- Frontend: HTML, CSS, JavaScript (JQuery)
- Backend: Flask (Python)
- Database: MySQL