Developed an educational module for the Fernando-JAL/Neurociencias-2026-1 repository, focusing on Python programming concepts and built-in functions. The work centered on creating Jupyter Notebooks that guide learners through practical examples and clear explanations, supporting both onboarding and ongoing education. Leveraging Python and JSON, the developer structured content to be accessible and maintainable, addressing documentation needs and integrating feature improvements based on backlog priorities. No major bugs were reported during the period, reflecting careful implementation and testing. The resulting notebooks serve as scalable teaching assets, laying a foundation for broader deployment and future updates within the educational platform.