Create and manipulate NumPy arrays, including multidimensional arrays and structured arrays.
Perform efficient numerical operations using broadcasting, vectorization, and universal functions.
Use Matplotlib to visualize data and Pandas for data analysis and manipulation.
Generate random numbers and implement weighted random choices for simulations and statistical sampling.
Apply NumPy to solve real-world problems such as distance matrices and data aggregation.
Optimize memory and runtime performance by leveraging NumPy over standard Python lists.
