Online content creation is ever-growing, presenting an interesting way of creating learning contexts since it constitutes an opportunity for people in different time zones and with different schedules to share their knowledge. In the particular case of Biomedical Engineering training on biosignals analysis, which can be utilized in multiple applications, it might be difficult for non-specialists to understand specific content for each concrete application. The biosignalsnotebooks project emerged with the purpose of sharing the applied knowledge of specialists regarding various types of matters, such as, data collection, signal processing and its analysis, and machine learning, besides the encouragement for people to contribute with their own knowledge. Jupyter Notebooks were used to answer these needs, which provide the means to develop an open-source and open-access way to create interactive computing and interactive materials. Through Jupyter Notebooks, our own content is generated but it also enables users to contribute and create their own resources, which enriches users' experience and facilitates the learning process by having a standardized template and easily readable layout. Moreover, the notebooks allow to combine content presentation, programming and to make hands-on experiences in a single platform, easing the interaction between the users and the content. The acceptance of the proposed format was assessed in a multitude of workshops presenting the biosignalsnotebooks project and it is demonstrated by the increasing number of users.