FIT9136-Algorithm and Programming Foundation in Python – IT Computer Science Assignment Help

Key tasks:

This assignment is a data analysis website. You are required to analyse the given data in folder data/source_course_files. This project is based on Python Flask Framework and you need to complete the files inside the controller folder named course_controller.py, index_controller.py, instructor_controller.py and user_controller.py, model folder named course.py, user.py, user_admin.py, user_instructor.py and user_student.py and several html pages (views) in the templates folder called 00login.html, 00register.html, 10student_list.html and 11student_info.html.

This is an individual assignment and must be your own work. You can use any libraries except the time-related libraries or functions in this assignment.

In the provided project-> lib folder, there are a few methods and variables in the helper.py file that can be imported and used in your tasks. For example, if you need to access the course.txt data file, you can add “from lib.helper import course_data_path” in your file. All the path variables in the helper.py should not be changed. Any unexpected changes may cause the website to not run,which will lead to mark penalties.

3.1. Overview:

1. Data explanation In the data folder, the source_course_file folder contains all the data files we need to use in this assignment. The course.txt and user.txt files are used to save all the course and user data. The example of course and user data can be found in _demo_course.txt and _demo_user.txt files. (course.txt and user.txt files are provided but empty)

2. Folder structure:

The image above shows a folder structure of this assignment. Running the main.py file can start this web application. The template file has some incomplete code which will generate errors. It is better to finish some tasks before starting to run the web application.

3. Start the assignment:

Step1. Create a new project in Pycharm and copy all the files into this project.

Step2. Open requirements.txt file and you can see the image below.

Step3. Click install requirements.

After the instalment of all libraries, you can start to work on this assignment. ( Feel free to use the `pip install -r requirements.txt` if you can understand this command)

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