I will walk you through the steps:

$1.$Write a program to read through the agreed$-$hours.txt file and determine the distribution of Agreed Hours for all courses prefixed with ICT.$$ The file short$-$agreed$-$hours.txt should not be used in the submission, but you may investigate this file to understand the problem better. Your program must include the following:

$2.$ All rows starting with ICT that have agreed hours, should be included, for example:

CHCRH$503$A$$ C$90$ # should not be included as it does not start with ICT.

ICTCBL$201$ C$50$ # has $50$ agreed hours which should be included.

ICTCBL$2012$A$$ C$$ # has no agreed hours and should not be included.

$3.$ You can split strings starting with ICT, by tabs $(\backslash$t$).$

Tip:

To split code using tabs:

possible $=$ possible.split$(\backslash$t$)$

$4.$ Accumulate the number of records with the same Agreed Hours

$5.$ Sort and print each count by frequency.

$6.$ Print the total of the number of records.

$7.$ The order of the records printed, with the same frequency, may vary from the example below.

$8.$ Ensure you have relevant comments in your code to enhance maintainability.

Extract of output for agreed$-$hours.txt:

hours: $60$ frequency: $480$

hours: $40$ frequency: $430$

hours: $50$ frequency: $246$

hours: $30$ frequency: $216$

hours: $20$ frequency: $170$

hours: $80$ frequency: $162$

hours: $150$ frequency: $91$

hours: $45$ frequency: $33$

hours: $70$ frequency: $25$

hours: $10$ frequency: $18$

hours: $35$ frequency: $17$

hours: $120$ frequency: $12$

PYTHON CODE $-$DONT USE CHATGPT OR ANY AI$.$ PLEASE INCLUDE COMMENTS ON CODE.

Example: Desired output for short$-$agreed$-$hours.txt file:

hours: $50$ frequency: $4$

hours: $30$ frequency: $4$

hours: $40$ frequency: $3$

hours: $45$ frequency: $2$

hours: $60$ frequency: $1$

hours: $36$ frequency: $1$

TOTAL NUMBER OF RECORDS: $6$