Write a Python program called Task1.py that takes a single command line argument to represent the input file name that the program will process. Your program will be processing a file called iris_full.txt, which is a famous classification algorithm benchmark data set used in the field of data mining/machine learning.
The Iris data set contains 150 records of iris flowers with five fields:
1.Sepal length (in cm) of the iris
2.Sepal width (in cm) of the iris
3.Petal length (in cm) of the iris
4.Petal width (in cm) of the iris
5.Type of iris (either Iris Setosa, Iris Virginica, or Iris Versicolor)

Your program will compute and output a report to the console including the following values:
1.Minimum value of each of the first four fields
2.Maximum value of each of the first four fields
3.Average value of each of the first four fields
4.The number of occurrences of each type of iris
The output should be in the following format:
Sepal Length: min = <min_value>, max = <max_value>, average = <average_value>Sepal Width: min = <min_value>, max = <max_value>, average = <average_value>Petal Length: min = <min_value>, max = <max_value>, average = <average_value>Petal Width: min = <min_value>, max = <max_value>, average = <average_value>Iris Types: Iris Setosa = <num_iris_setosa>, Iris Versicolor = <num_iris_versicolor>, Iris Virginica = <num_iris_virginica>
The correct answers for all of these outputs are shown in the comments section ofiris_full.txt

Your program should contain the following functions:
1.read_data: this function takes two arguments –a file name to read and a List L to store all the records from the file in. Your program must read the file as is. Do not modify the file priorto reading it.
2.process_numeric_field:the function takes two arguments –the List of records L and the field number to process (1, 2, 3, or 4). The function returns three values –min, max, average of the field.
3.count_iris_types: the function takes one argument –the List of records L. The function returns three values –the number of Iris Setosa, Iris Versicolor, and Iris Virginica in the data set.

Write a Python program called Task2.py that takes a single command line argument to represent the input file name that the program will process.Your company’s security department recently discovered a network breach and they suspect that the CentOS VM image you have been using was compromised. Specifically, they’re worried that the executables in /usr/bin could have been modified with versions of those same executables that contain malicious code. You have been provided with a file called md5.txt that contains the MD5 message digests for nearly all of the executables in /usr/bin. Any other executables in /usr/bin not shown in md5.txt are not considered important for this analysis and should be ignored. MD5 message digests are 128-bit hashes that have been computed for the executables shown in md5.txt. Each line in the file contains the name of an executable in /usr/bin and its MD5 message digest that was computed before the network breach. These message digests are important because they should be unique to those specific executables and if the message digest is now different, that executable was affected by the breach. MD5 message digests for any file may be computed using a system call to md5sum.
Your program will output the names ofexecutables that may have been compromised to the console using the following format:<affected_executable_name_1>: MD5 original = <md5_from_file>, MD5 new = <md5_from_your_program><affected_executable_name_2>: MD5 original = <md5_from_file>, MD5 new = <md5_from_your_program>...<affected_executable_name_n>: MD5 original = <md5_from_file>, MD5 new = <md5_from_your_program><insert screenshot here>
The only requirements for your code are that the program accepts the file name as a command line argument and it uses a system call to md5sum to compute the MD5 message digest for each executable shown in md5.txt.

Write a Python program called Task1.py that takes a single command...