Python data structures: sets | 14/34 | UPV

Título: Python data structures: sets Descripción: In this video sets are introduced as a non-linear data structure that can be thought of as a bag of unsorted elements where every element appears only once. Sets have various methods such as length, in operation, add, remove, discard, pop, clear, and copy. Sets also support classic operations like subset, superset, union, intersection, and difference. These operations allow for comparing and combining sets to find common or unique elements. The video also covers the importance of remembering that sets are objects, and assigning a set to a new variable creates a reference to the same set, not a copy. Additionally, frozen sets can be used to create immutable sets that cannot be altered. Autor/a: GALINDO JIMENEZ CARLOS SANTIAGO Curso: Este vídeo es el 14/34 del curso SEAMIC Computer Science II. https://www.youtube.com/playlist?list=PL6kQim6ljTJtqJz2Qe0_6jAtLVluSFR5b Curso: Este vídeo es el 78/120 del curso SEAMIC (Bachelor's Degree in Systems Engineering and Management for Innovation Challenges). https://www.youtube.com/playlist?list=PL6kQim6ljTJtWBXvKMuuaHPdgj4VcN6IH + Universitat Politècnica de València UPV: https://www.upv.es + Más vídeos en: https://www.youtube.com/valenciaupv + Accede a nuestros MOOC: https://upvx.es #python #SEAMIC #data structures #sets #CS2