This paper presents the development and evaluation of an educational software simulator designed to enhance student understanding of key concepts in Signals and Systems. The simulator incorporates modules for generating and analyzing basic signals, Fourier series, Fourier transforms, convolution, and voice signal analysis. Developed using Python, the open-source nature of the software ensures accessibility and compatibility across multiple platforms, allowing students to use the tool outside of traditional classroom environments without incurring additional costs. The interactive nature of the software allows real-time visualization of complex mathematical transformations, aiding in the comprehension of abstract concepts. Feedback from students highlights the effectiveness of the tool in improving their understanding of convolution and Fourier series, as well as its accessibility compared to more expensive alternatives. However, areas for future development include expanding content coverage to advanced topics like the Laplace transform and improving the feedback provided during exercises. Overall, the simulator serves as a valuable resource for both students and instructors, offering a flexible, user-friendly solution for learning and teaching signals and systems.