Below is a list of names in Numpy format. That are the bank accounts. In the cell below create a $(10,26)$ matrix of random integers called transactions. The $(10)$ rows represents tranactions and the $(26)$ columns coorespond to each bank account.

Make sure each transaction is between $-50$ and $100.$'Alice', 'Benjamin', 'Charlotte', 'David', 'Emma', 'Felix', 'Grace', 'Henry','Isabella', 'Jack', 'Katherine', 'Liam', 'Mia', 'Noah', 'Olivia', 'Penelope','Quinn', 'Rebecca', 'Samuel', 'Taylor', 'Ulysses', 'Victoria', 'William''Xander', 'Yasmine', 'Zachary'$])$Now create a function currentValue that takes an transaction $($integer $0$ to $10)$ and a bank account one row of the transactions array above $($i$.$e$.,$ a $1\backslash$times $10$ numpy array$)$ and returns the bank account value after that transaction.I.e$.,$ assume each transaction represents a flow in or out of the account, where all accounts start at $0.$ Thus the value after n transactions will be the total of the first n transactions.

Now create a function aboveThreshold that takes an transaction $($integer $0$ to $9)$ and a threshoold $($any integer$)$ and returns the array of accounts who have that amount of money after the given transaction.

Calculate a rough approx of the distribution after the $n^{?}$ th transaction: create an list with $20$ values, representing the number of accounts with more than $-100,-175,-150$dots$475,500.$ Store this in a dict, with the key as the threshold and the value as the number of accounts exceeding it