Covers vectorization in Python using Numpy for efficient scientific computing, emphasizing the benefits of avoiding for loops and demonstrating practical applications.
Covers the basics of C programming, focusing on arrays and functions, including 1D and 2D arrays, string operations, dynamic memory allocation, and reading files.