Chapter :- 7 Vim Editor and Basic Scripting

Chapter :- 7 Vim Editor and Basic Scripting

Summary

A shell script can be defined as series of commands written in a plain text file. The shell scripts are commonly used by the users to perform routine individual tasks and system administration.

Working with Vim Editor We have learned how to create a file using the cat command. The cat command although it allows us to create a file is not a good option to use when creating a shell script.

The Vim (Vi Improved) is a text editor written by Bram Moolenaar and first released publicly in 1991.

The Vim editor functions in three different modes namely, a command mode, an insert mode and a last line mode.

We first need to issue an insert (i), append (a), or open (o) command to insert the text in the file.

Press “i' and the editor will now be in the insert mode. Now type the contents as given in the box below.

Choose the most appropriate option from those given below:

(1) In how many modes Vim editor works?

(a) One

(b) Two

(d) Four

(2) Which of the following statement is true for Gedit?

(a) It is a Command line editor.

(b) It is a Graphical editor.

(d) It is available with KDE Desktop environment.

(3) :wq in Vim editor is used for which of the following activities?

(a) To save file and remain in editing mode

(b) To save file and quit editing mode

(d) All of the above

(4) Which of following keys is not used to go into insert mode of the Vim editor?

(a) o

(b) i

(d) cw

(5) Which of the following keys are used to delete a line?

(a) ce

(b) ge

(d) d$

(6) Which of the following statements is used to search for phrase in the file?

(a) set is

(b) :help cmd

(d) /phrase<ENTER>

(8) Which of the following character is used for commenting a line in a shell script?

(a) *

(b) %

(d) #

(9) Which of the following symbol instructs a shell script to extract the value of a

variable?

(a) *

(b) %

(d) #

11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following:

11. Write a Java program to input basic salary of an employee and calculate its Gross salary according to following: Basic Salary <= 10000 : HRA = 20%, DA = 80% Basic Salary <= 20000 : HRA = 25%, DA = 90% Basic Salary > 20000 : HRA = 30%, DA = 95% Static Solution :- class salary { public static void main(String args[]) { double basic=20000.50,gross,da,hra; if(basic <=10000) { da = basic * 0.8; hra = basic *0.2; } else if(basic <=20000) { da = basic * 0.9; hra = basic *0.25; } else { da = basic * 0.95; hra = basic * 0.3; } gross = basic + da + hra; System.out.println("The Gross Salary is :-"+gross); } } Output :- Dynamic Solution :- class salary { public static void main(String args[]) { double basic=20000.50,gross,da,hra; Scanner in = new Scanner(System.in); System.out.println("Enter the Basic Salary

1. Given the school result data, analyses the performance of the students on #different parameters, e.g subject wise or class wise.

1. Given the school result data, analyses the performance of the students on #different parameters, e.g subject wise or class wise. Solution :- # x-axis is shows the subject and y -axis # shows the markers in each subject # import pandas and matplotlib import pandas as pd import matplotlib.pyplot as plt # Simple Line Chart with setting of Label of X and Y axis, # title for chart line and color of line subject = ['Physic','Chemistry','Mathematics', 'Biology','Computer'] marks =[80,75,70,78,82] # To draw line in red colour plt.plot(subject,marks,'r',marker ='*') # To Write Title of the Line Chart plt.title('Marks Scored') # To Put Label At Y Axis plt.xlabel('SUBJECT') # To Put Label At X Axis plt.ylabel('MARKS') plt.show() Output :-

24.Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total expenditure per category.

24.Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the category and print the total expenditure per category. import pandas as pd # initialize list of lists data = [['CAR','Maruti',1000000],['AC','Hitachi',55000],['AIRCOLLER','Bajaj',12000], ['WASHING MACHINE','LG',15000],['CAR','Ford',7000000],['AC','SAMSUNG',45000],['AIRCOLLER','Symphony',20000],['WASHING MACHINE','Wirlpool',25000]] Col=['itemcat','itemname','expenditure'] # Create the pandas DataFrame qrtsales = pd.DataFrame(data,columns=Col) # print dataframe. print (qrtsales) qs=qrtsales.groupby('itemcat') print('Result after Filtering Dataframe') print(qs['itemcat','expenditure'].sum()) Output :-

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