$1.$ To start the first task, please download the list of ASX$200$ consituent companies from Refinitiv Workspace, and use Python Pandas to import it as a DataFrame $($named as dfASX$).$ Print the dataframe dfASX in a Jupyter Notebook cell.

$2.$ Obtain a list $($named as ASXlist$)$ of tickers of ASX$200$ companies, and print the list.

$3.$ Set a seed in a random drawing, with the seed number being your student number. $($For example, if your student number is s$1234567,$ your code will be random.seed$(1234567)).$ Use a random function $($random$.$sample$())$ to sample $20$ stocks from the consitutents, sorted in an alphabetical order. Create another dataframe $($named as dfASX$20)$ to show the RICs $($tickers$)$

and company names $($which can be obtained from dfASX$).$ Print dfASX$20.$

$4.$ Go to Refintiv Workspace, find the ESG score of each of those selected $20$ companies in the most recent year, and construct a dictionary named ESGscore. Then in dfASX$20$ add this dictionary as a new column named 'ESG'. Rank the dfASX$20$ by ESG value in descending order

and print dfASX$20.$