Understanding and Modifying Programs

Related lectures (29)

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Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.

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

Explains the essential concepts of functions in C programming, including definitions, prototypes, and argument passing techniques.

Introduces functions and control structures in Python, emphasizing their importance for code organization and reusability.

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming conventions and program structuring.

Explores advanced Python programming concepts, focusing on list comprehensions and higher order functions.

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

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.

Covers passing pointers to functions, structures, and bitwise operators in C++.