Discussion 1: R was made concerning the stage for the factual calculation, facilitating the traditional tests, group, and time arrangement examination among others. R has a bigger local area for information excavators that implies a ton of bundles that are open both from the engineers of R and the clients. For illustrations, there is a huge number of bundles and layers for the plotting and examination of diagrams which incorporate ggplot2.R has become another style for the computerized reasoning scene consequently giving the instruments to the neural organization, AI, and Bayesian inductions. A python is a superb tool for software engineers and designers across sheets. Regardless of whether building up a calculation for the incitement biomolecules or the insect spam delicate products, you will wind up at home utilizing the interfaces and varieties of capacity. Delivered in the year 1989 it's cited as perhaps the main general purposes objects arranged programming dialects. Python has consistently developing populism among the new software engineers that demonstrates more extravagant local area clients and investigators. Professionals for R versus Python R It is incredible for the control of information R permits the clients to adjust the feel illustrations and to alter the insignificant coding which gives a benefit over contenders. It is an amazing asset for measurable displaying, the production of factual apparatuses for the information researchers, and being harbingers in the field, liked by experienced developers. Python It is simple and it's instinctive to learn for novices. Its appeal to the more extensive scope of clients makes an always developing local area in more teaches and expanding correspondence between the open-source language. Exacting sentence structure constrains one to turn out to be better in coding, composing becomes consolidated, clear code. It is quicker in managing huge datasets and could stack records effortlessly, making it suitable for the controllers of large information. Cons for R versus Python Preparing speed:- R is viewed as lethargic where it requires the items to be put away in actual memory which implies a more prominent assessment when attempting to bridle the large information. Python is appropriate for bigger datasets and its capacity to stack huge records quickly. Online people group:- R and python has a broadly upheld encouraging group of people for connecting with were being a priceless wellspring of help for bugs one can't appear investigating promptly. The steep expectation to learn and adapt:- For R the bend is because of broad force for the analysts. Python is alluring for new developers because of its usability and relative openness. R is broadly utilized and spoken and one can exploit this. Those intrigued by programming advancement, mechanizing, or mechanical technology may discover you drenched in the python local area. References Big Data Visualization: Allott ...

1. Discussion 1:
R was made concerning the stage for the factual calculation,
facilitating the traditional tests, group, and time arrangement
examination among others. R has a bigger local area for
information excavators that implies a ton of bundles that are
open both from the engineers of R and the clients. For
illustrations, there is a huge number of bundles and layers for
the plotting and examination of diagrams which incorporate
ggplot2.R has become another style for the computerized
reasoning scene consequently giving the instruments to the
neural organization, AI, and Bayesian inductions.
A python is a superb tool for software engineers and designers
across sheets. Regardless of whether building up a calculation
for the incitement biomolecules or the insect spam delicate
products, you will wind up at home utilizing the interfaces and
varieties of capacity. Delivered in the year 1989 it's cited as
perhaps the main general purposes objects arranged
programming dialects. Python has consistently developing
populism among the new software engineers that demonstrates
more extravagant local area clients and investigators.
Professionals for R versus Python
R
It is incredible for the control of information
R permits the clients to adjust the feel illustrations and to a lter
the insignificant coding which gives a benefit over contenders.
It is an amazing asset for measurable displaying, the production
of factual apparatuses for the information researchers, and being

2. harbingers in the field, liked by experienced developers.
Python
It is simple and it's instinctive to learn for novices.
Its appeal to the more extensive scope of clients makes an
always developing local area in more teaches and expanding
correspondence between the open-source language.
Exacting sentence structure constrains one to turn out to be
better in coding, composing becomes consolidated, clear code.
It is quicker in managing huge datasets and could stack records
effortlessly, making it suitable for the controllers of large
information.
Cons for R versus Python
Preparing speed:- R is viewed as lethargic where it requires the
items to be put away in actual memory which implies a more
prominent assessment when attempting to bridle the large
information. Python is appropriate for bigger datasets and its
capacity to stack huge records quickly.
Online people group:- R and python has a broadly upheld
encouraging group of people for connecting with were being a
priceless wellspring of help for bugs one can't appear
investigating promptly.
The steep expectation to learn and adapt:- For R the bend is
because of broad force for the analysts. Python is alluring for
new developers because of its usability and relative openness.
R is broadly utilized and spoken and one can exploit this. Those
intrigued by programming advancement, mechanizing, or

3. mechanical technology may discover you drenched in the
python local area.
References
Big Data Visualization: Allotting by R and Python with GUI
Tools. (2021). Retrieved 18 March 2021, from
https://ieeexplore.ieee.org/document/8538413/
Discussion 2:
The two R and Python are open source, state-of-the-art
programming languages. They are oriented toward data science.
To learn the two languages would be an ideal solution. Python
is a general-purpose, high-level programming language that
concentrates on clearer and versatile programming. In contrast,
R is primarily a low-level programming language used by data
miners and statisticians for developing graphical
representations, statistical software, and for data analysis. R is a
programming language that is free and is regarded as the best
because most statistical languages are not priceless (Zeolearn
Author, 2019). Python is a high-level language, and it is
exceptionally flexible. R can do data analysis without loading
any package in its memory. Contrary, Python requires packages
such as pandas and NumPy for processing the data and
developing data frame. R codes require more maintenance ace
while in python, code they are more robust and easier to
maintain. R is excelling utilized for visualizing data, while
python is excelling for deep learning.

4. One of the advantages of python is that it is a language for
general-purpose. It is also extremely easy and instinctive. The
learning curve is not very steep, and one can quickly write
programs. One of its disadvantages is that it has many nice
visualization libraries. Although, it becomes a bit challenging to
select from the huge range of choices. Contrary to R, these
libraries create complicated visualizations which to look at may
not be very pleasing. Some pros of R are that it has a rich
ecosystem of an active community and cutting-edge packages. It
also has some cons, which is its learning curve is very steep. An
example of python is to find the factorial of a number. An
example of R is to take input from user. I foresee using python
to create tons of websites.
References
Zeolearn Author. (2019, 10). R vs. Python. Zeolearn.
https://www.zeolearn.com/magazine/comparison-of-r-and-
python
Discussion 1:
Cyber terrorism is considered as the terrorism activity in which
attackers attack on the properties and affect the computer,
information by taking support of internet. This kind of terrorism
activities may cause physical harm to the real world and can
disrupt the infrastructure as well.

5. Cyber attacks are generally done to harm particular
person but it has no specific goal but cyber terrorism activities
are being performed to hurt specific component of political
system of the country (Taylor and et.al. 2019). Cyber terrorism
activities are being performed with specific motive. The main
motive of this kind of criminal activities is to destroy the
enemies and their operational capabilities as well. By attacking
on the system terrorist try to finish the operational capacity of
the nation so that it may fail to handle the critical situations
well. Another major motive of cyber terrorism is to
misrepresent the reputation of the firm. Many big nations have
strong infrastructure facilities and have sound system as well. If
terrorists attack on these systems then it may cause harm to the
nation. Special there is presence of specific motive then cyber
attack is considered as cyber terrorism
The main target of such kind of terrorism activities are economy
of the nation and particular industry which is performing well in
the market. By attacking the industry, nation may get failed to
handle the security effectively.
These attacks are done with the intention to destroy the
organization and hurt the public of that country. If there is
presence of this feature then this would make the cyber attack
as the cyber terrorism activity (Venkatachary, Prasad &
Samikannu, 2018).
The main agenda of cyber attack is to gain financial benefits or
to hurt the other person but when these attacks are performed to
destroy the political system then it would turn the entire
situation in to the cyber terrorism. These professional hackers
perform such illegal activities to hurt the entire political system

6. of the country.
References
Taylor, R. W., Fritsch, E. J., Liederbach, J., Saylor, M. R., &
Tafoya, W. L. (2019). Cyber crime and cyber terrorism. New
York, NY: Pearson.
Venkatachary, S. K., Prasad, J., & Samikannu, R. (2018).
Cybersecurity and cyber terrorism-in energy sector–a review.
Journal of Cyber Security Technology, 2(3-4), 111-130.
Discussion 2:
Cyber-attacks are strikes launched by cyber criminals using
computers against a single computer or multiple computers. The
purpose of cyber-attacks is usually to maliciously steal
information from computers or use a breached computer to
attack other computers. The methods used to launch cyber-
attacks include malware, phishing, denial of service among
others. Cyber attacks are preventable. Cyber terrorism on the
other hand, is the use of the internet to perform violent

7. activities that can lead to the loss of lives or serious bodily
harm. Cyber terrorism is the use of computers or devices to
cause harm to other uses for personal gain of the cyber terrorist.
These two terms, even though may seem to mean the same
thing, refer to two different acts.
Cyber-attacks are taken to be more information oriented as
compared to cyber terrorism. A cyber attack can be viewed as a
launchpad for future cyber terrorism. The theft of information
from personal computers through the illegal access to passcodes
and the breaking of security barriers is a cyber-attack. When
such information and data are used to perform other serious
crimes like blackmail, it becomes cyber terrorism. Cyber
terrorism is therefore more violence oriented than cyber-attack.
A cyber terrorist can deny the user of a personal computer the
use of their own computer. That is classified as a cyber -attack.
If the terrorist then goes forward to steal information from such
computers and blackmail the user or cause actual bodily harm to
the user, it becomes cyber terrorism (Xuan & Zuyi, 2017).
An attack can be classified as cyber terrorism if the attack is
used for acts of terrorism. These acts include grievous bodily
harm, blackmail, murder or robbery and such like vices. Cyber
attacks are used to launch cyber terrorism. This is because cyber
attacks involve the access of computers and/or the illegal access
of information and data in the affected computers. A cyber
attack can be termed as cyber terrorism if it affects many users
at once.
Reference

8. Xuan Liu, & Zuyi Li. (2017). Trilevel Modeling of Cyber
Attacks on Transmission Lines. IEEE Transactions on Smart
Grid, 8(2), 720–729.