ABSTRACT This manuscript presents a web application developed in Python and deployed using Streamlit, designed to support the study of equipotential lines and electric fields in undergraduate physics laboratories at the Universidad Industrial de Santander. The application enables students to upload experimental data and dynamically visualize the relationship between electric potential and electric field in real time. By offering an interactive and intuitive interface, the platform helps students engage with otherwise invisible physical phenomena and explore the underlying mathematical models through immediate visual feedback. This integration of experimental data and computational modeling addresses a common gap in physics education, where these components are often taught separately, limiting students' ability to connect theory and practice. Integrating computational tools into laboratory practice promotes active learning, enhances conceptual understanding, and builds student confidence in topics that are often perceived as abstract and challenging.
Ríos et al. (Sun,) studied this question.