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  1. Visualizing sorting algorithms in Python helps understand their step-by-step execution. You can achieve this using GUI-based libraries like Tkinter, Matplotlib, or Pygame for real-time animations.

    Tkinter + Matplotlib Approach

    This method provides an interactive GUI where you can choose algorithms, adjust speed, and watch the sorting process.

    Steps:

    • Install dependencies

    pip install matplotlib
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    • Example Code:

    import random, time
    from tkinter import *
    from matplotlib import pyplot as plt
    from matplotlib import animation

    def bubble_sort(data, draw_data, delay):
    for i in range(len(data)-1):
    for j in range(len(data)-i-1):
    if data[j] > data[j+1]:
    data[j], data[j+1] = data[j+1], data[j]
    draw_data(data, ['red' if x == j or x == j+1 else 'blue' for x in range(len(data))])
    time.sleep(delay)
    draw_data(data, ['green' for _ in range(len(data))])

    def draw_data(data, color_array):
    plt.clf()
    plt.bar(range(len(data)), data, color=color_array)
    plt.pause(0.001)

    if __name__ == "__main__":
    data = [random.randint(1, 100) for _ in range(30)]
    plt.ion()
    bubble_sort(data, draw_data, 0.05)
    plt.ioff()
    plt.show()
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  1. SortVisualization · PyPI

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