The next step

Before, you have already written Python code that determines the next step based on the previous step. Now it's time to put this code inside a for loop so that we can simulate a random walk.

numpy has been imported as np.

This exercise is part of the course

Intermediate Python

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Exercise instructions

Make a list random_walk that contains the first step, which is the integer 0.
Finish the for loop:
The loop should run 100 times.
On each iteration, set step equal to the last element in the random_walk list. You can use the index -1 for this.
Next, let the if-elif-else construct update step for you.
The code that appends step to random_walk is already coded.
Print out random_walk.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# NumPy is imported, seed is set

# Initialize random_walk


# Complete the ___
for x in ___(___) :
    # Set step: last element in random_walk
    ___

    # Roll the dice
    dice = np.random.randint(1,7)

    # Determine next step
    if dice <= 2:
        step = step - 1
    elif dice <= 5:
        step = step + 1
    else:
        step = step + np.random.randint(1,7)

    # append next_step to random_walk
    random_walk.append(step)

# Print random_walk

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