Timetable with GUI and Scroll

Introduction

This project is a Python script that generates a timetable for various subjects, teachers, and batches using genetic algorithms. It then displays the generated timetable using a GUI built with Tkinter. The GUI includes a scrollable interface to easily navigate through the timetable.

Installation and Requirements

Requirements

• Python 3.x
• Tkinter (usually comes pre-installed with Python)
• time (standard library)
• random (standard library)

Installation

1. Ensure you have Python installed on your machine. You can download it from python.org.

2. Clone this repository or download the script directly.

3. No additional packages need to be installed as all required modules are part of the Python standard library.

Usage

1. Open a terminal or command prompt.

2. Navigate to the directory where timetable with gui and scroll.py is located.

3. Run the script using Python:

   python timetable\ with\ gui\ and\ scroll.py

4. The script will generate a timetable and display it in a GUI window. You can scroll through the timetable using the provided scrollbar.

Key Functions

• subjectlistnew(total_subject_list): Sorts the subjects based on the number of batches.
• cgen(): Generates a random chromosome for the genetic algorithm.
• crossover(chrome1, chrome2): Performs crossover between two chromosomes.
• mutate(chrome, vales): Mutates a given chromosome.
• fitness(chrome): Calculates the fitness score of a given chromosome.
• afterfitness(chrome): Updates the relevant data structures after a chromosome passes the fitness test.
• working(): Main function that orchestrates the timetable generation using genetic algorithms.
• populate(frame): Populates the Tkinter frame with the timetable data.
• onFrameConfigure(canvas): Configures the scroll region for the Tkinter canvas.

GUI Elements

• The GUI is created using Tkinter, with a canvas and scrollbar to allow for easy navigation through the timetable.
• Each cell in the timetable is color-coded for better visualization.

Notes

• The script uses a genetic algorithm to generate the timetable, which involves creating a population, evaluating fitness, performing crossover, and mutating individuals.
• The timetable is displayed in a scrollable Tkinter GUI, making it easy to navigate

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