Arrays: Basics and Usage

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Explores real functions, covering parity, periodicity, and polynomial functions.

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Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.

Covers the representation of structured data, arrays, structures, and functions with multiple return values.

Covers functions, including even and odd functions, periodicity, and function operations.

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.

Explores dynamic arrays in C++, covering initialization, access, functions, and practical applications like temperature data analysis.

Covers the concept of partial derivatives and their applications in mathematical analysis.

Covers entropy, its definition, and its implications in thermodynamics.