I need code

"""

Module demonstrating mutable functions on nested lists.

All of these functions modify their list arguments.

Author: Zahra jafferi

Date: 06/07/2021

"""

def crossout(table,row,col):

"""

Modifies the table to remove the given row and column.

Examples:

If a = [[1,3,5],[6,2,7],[5,8,4]], crossout(a,1,2) changes a to [[1,3],[5,8]]

If a = [[1,3,5],[6,2,7],[5,8,4]], crossout(a,0,0) changes a to [[2,7],[8,4]]

If a = [[1,3],[6,2]], crossout(a,0,0) changes a to [[2]]

If a = [[6]], crossout(a,0,0) changes a to []

Parameter table: the nested list to modify

Precondition: table is a table of numbers.In other words,

(1) table is a nested 2D list in row-major order,

(2) each row contains only numbers, and

(3) each row is the same length.

Parameter row: the row to remove

Precondition: row is an index (int) for a row of table

Parameter col: the colummn to remove

Precondition: col is an index (int) for a column of table

"""

table.pop(row)

ln=len(table)

for i in range(ln):

table[i].pop(col)

def place_sums(table):

"""

Modifies the table to add a column summing the previous elements in the row.

This function assumes that the table has a header, which means the first row

only has strings in it.The later rows are only numbers.This function

adds the string 'Sum' to the first row.For each later row, it appends the

sum of that row.

Example: Suppose that a is

[['First','Second','Third'], [0.1,0.3,0.5], [0.6,0.2,0.7], [0.5,1.1,0.1]]

then place_sums(a) modifies the table a so that it is now

[['First', 'Second', 'Third', 'Sum'],

[0.1, 0.3, 0.5, 0.8], [0.6, 0.2, 0.7, 1.5], [0.5, 1.1, 0.1, 1.7]]

Parameter table: the nested list to process

Precondition: table is a table of numbers with a header.In other words,

(1) table is a nested 2D list in row-major order, (2) the first row only

contains strings (the headers) (3) each row after the first contains only

numbers, and (4) each row is the same length.

"""

table[0].append("Sum")

for i in range(1, len(table)):

table[i].append(sum(table[i]))