10 lines of code to simulate Brownian motion

1. 1Import necessary Python libraries like NumPy and Matplotlib
2. 2Define a function to generate random steps for Brownian motion
3. 3Use a loop to iterate over the steps and calculate the new position
4. 4Plot the trajectory of the Brownian motion using Matplotlib
5. 5Customize the plot with labels and titles
6. 6Run the simulation with different parameters to observe variations

Data scientists and physicists can benefit from this tutorial to model random processes, while software engineers can apply the principles to simulate complex systems

💡 Brownian motion can be simulated using random steps and plotted using Matplotlib

Simulate Brownian motion in 10 lines of Python code!