Part $1$: Python Collections

Lists and Tuples:

Create a list of at least $10$ numbers. Then, perform the following operations:

Append a new number to the list.

Remove a number from the list.

Sort the list in ascending order.

Convert this list into a tuple.

Write a function that takes this tuple as an argument and returns the sum and average of the numbers.

Dictionaries:

Create a dictionary to store information about a vehicle. The dictionary should include keys such as $,$

$,,$ and $.$

Write a function that accepts this dictionary as an argument and adds a new key$-$value pair indicating the

vehicle's $.$

Sets:

Create two sets of numbers, and $,$ with at least $5$ elements each, some of which should overlap

between the sets.

Demonstrate the following set operations:

Union

Intersection

Difference $(\text{'}$set$\_$aset$\_$b$`)$

Symmetric Difference

Part $2$: Working with Libraries

Numpy:

Create a numpy array of shape $(5,5)$ with numbers from $1$ to $25.$

Calculate the transpose of the array.

Find the inverse of the array $($ensure the array is invertible$).$

Pandas: $$

Create a pandas DataFrame with the following columns: $,,,$ and $`$Department$\text{'}.$ Populate it

with data for at least $5$ individuals.

Perform basic data analysis: find the average age and count the number of unique departments.

OpenCV

Read an image using OpenCV $($you may use any image of your choice$).$

Convert the image to grayscale and save it with a new name.

Display the original and grayscale images side by side using

Submission Guidelines

Your script or notebook should be clearly commented on to explain your code and the outputs of each

operation.