Today more and more tourists are visiting places where conditions are difficult, such as the Sahara desert or the Antarctica. What are the advantages and disadvantages for tourists who visit such places?

The tool that I am proposing for the

data

transformation task is

Python

.

Python

is

a

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an

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interpreted, general purpose and dynamic programming

language

.

Python

comes with

range

Add an article

a range

show examples

of readily available libraries to support tasks from web development to machine learning. The syntax of the programming

language

is simple, intuitive and often simpler to learn for both programmers and non-programmers. Pandas is one of the

python

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Python

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library

Change to a plural noun

libraries

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that is

widely used for

data

processing. The operations that

was

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were

show examples

performed with Hive could be done in

python

Capitalize word

Python

show examples

as follows

data

= pd.read_csv("/../Video_Games_Sales_as_at_22_Dec_2016.csv")

sales_genre

=

data

[['Genre','

Global_Sales

','Critic_Score']]

sales_genre

=

sales_genre

.round({'

Global_Sales

':0})

sales_genre

=

sales_genre

.loc[

sales_genre

['

Global_Sales

'] > 0]

sales_genre

=

sales_genre

.sort_values(by="

Global_Sales

" , ascending=False) The following are

main

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the main

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advantage

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advantages

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of

python

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Python

show examples

for

data

transformation. 1.Since it is a

full fledged

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full-fledged

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programming

language

there

are

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is

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rich

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a rich

show examples

set

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sets

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of functions and libraries like pandas, numpy and others to manipulate and process

data

.

For

example

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example,

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there are pre-defined functions like “describe” that

provides

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provide

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statistics on the

data

.

sales_genre

.describe() 2.We do not need to explicitly state the operations that

needs

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need

show examples

to be done on the dataset.

For

example

Add a comma

example,

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for selecting the list of columns we just use the index [] notation to access the columns

instead

of creating a new table or explicitly stating that with select. 3. It is easy to validate the

data

operation with test functions of suits with

python

Capitalize word

Python

show examples

. We could write test cases to validate the operations or complex manipulation. The following are the main

disadvantage

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disadvantages

show examples

are

Unnecessary verb

apply

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1.We need to learn the programming

language

to effectively use the libraries and to create scripts to process the

data

. 2.The processing is done

in-memory

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in memory

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that is

the

data

needs to be read in full before processing it.

Where as

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Whereas

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in SQL the

data

is done at the

data

store itself. So

this

makes it

bit

Correct article usage

a bit

show examples

slower. --DELETED LINK-- --DELETED LINK-- thon-programming-

language

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