Answer:
<u>the first friend</u>
Explanation:
It is important to <em>remember </em>that a core is the brain of the CPU (central processing unit), which means one who has a dual-core is having <em>"a dual brain" </em><em>to process information faster.</em>
Consider also, IT experts often acknowledge that in terms of speed of execution, it is proven that, "dual-core systems" are <em>faster</em> (even twice faster) than a "single-core system". The other friends were wrong because they disagreed with a widely accepted fact that dual-core is faster than single-core; and of course, <em>we know that without them being faster they can't run twice the applications and twice the data. </em>
Therefore, we can make the conclusion that the first friend's response is correct.
It’s a making sections about what algorithms to use
Answer:
Hi there! The answer is C:
Explanation:
The scope of the LOWER function is limited to the select clause it is being used in. Outside of the select statement, the column will be returned as it is currently present in the database. Using the LOWER function will not automatically store data in lower case letters in the database tables. As an exercise, try creating a simple database table called "Employees" with columns "id" and "name". Then input a row using an insert statement with id as 1 and name as "BLAH". Try using the select statement with LOWER function and then without the LOWER statement.
The data frame first_south is created using first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
<h3>How to create the data frame?</h3>
To do this, we make the following assumptions:
- The pandas module has been loaded as pd
- The dataset has also been loaded as titanic
When pclass column is 1.
This is represented as:
titanic['pclass']==1
When the passenger boards from Southampton.
This is represented as:
titanic['Embarked']=='S'
So, we have:
first_south = (titanic['Pclass']==1) & (titanic['Embarked']=='S')
Read more about data frames at:
brainly.com/question/16524297
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