Variables, Objects, Types

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

Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.

Introduces Python programming basics, covering loops, functions, lists, and conditions for code execution.

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

Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

Covers the basics of C programming, including syntax, structure, and compilation processes.

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

Introduces Mathematica basics, including graphics creation, list manipulation, and function definition.

Covers Python basics, including data types, loops, functions, classes, and GUI creation.