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Introduces RDMA and Persistent Memory, discussing their features, challenges, and impact on concurrent algorithms.

Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.

Explores functions' complements, parameter order, and list manipulation, including counting occurrences and solving the '100 prisoners problem'.

Covers stacks, queues, linked lists, and binary search trees in data structures.

Covers wind power production analysis using Python and matplotlib.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Covers advanced Python programming concepts, including data structures and functions.

Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.

Covers fundamental programming concepts such as algorithms, variables, and expressions in C++.