Data Structures: Tuples, Lists, Sets, Dicts

Related lectures (27)

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Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.

Covers the generalities of functions, including the definition of an application between sets and the uniqueness of elements in the image set.

Introduces sets in discrete mathematics and explores proof techniques like direct and indirect proofs.

Introduces fundamental concepts of linear algebra, focusing on sets and operations.

Explores the differences between lists and sets, emphasizing the challenges of defining equality.

Explores mapping functions, surjections, injective and surjective functions, and bijective functions.

Explains the differences between mutable and immutable objects in Python and covers native container types.

Introduces sets, functions, Cartesian products, and compositions, discussing images, preimages, and function properties.

Covers Python sets operations, including creation, modification, and comparison, as well as set operations like union and intersection.

Covers the basics of analysis, including real numbers, proofs, sets, and operations.