Common pitfalls with numpy.arange include the exclusion of the stop value, unexpected behavior with floating-point steps, and issues with data type conflicts. Using linspace can help ensure precise control over array lengths. Be mindful of negative steps and large arrays to avoid memory overflow and unintended results.