Week 5 assignment - Jupyter and NumPy
Do online research and answer the following questions on Python NumPy Package! Read
chapter 2 of the following e-book. https://jakevdp.github.io/PythonDataScienceHandbook
30 points (3 points for each question)

Name:

1. Why is NumPy Array good compared to Python Lists?

2. How many dimensions can a NumPy array have?

3.
Consider the two-dimensional array, arr2d.
a) Write a code to slice this array to display the last column,
This is the solution (Submit the code) = [[3] [6] [9]]
b) Write a code to slice this array to display the last 2 elements of middle array,
This is the solution (submit the code) = [5 6]
arr2d = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

4. What is the difference between indexing and slicing in NumPy?

5. Generate 10 random numbers of 0 and 1 digits using NumPy package.

6. Generate a 2 x 4 array of ints between 0 and 10, inclusive:

7. Create a 5 x 3 matrix of random numbers. Create a vector of three random number.
What happens when you run matrix * vector (the product of the matrix and vector)?

8.Compute the transpose of the matrix you created in question 7.

9.What is the use of "ndim" attribute in NumPy?

10.Create a vector with 10 random generated values from 1 to 50, then sort the values in