Answer:
A. Source code
Explanation:
In the field of Programming; Source code is the code written in high level language given to the computer to translate to machine - executable code before executing. It is usually written and understood by human. It is closer to human like language, as it allows easier expression. It is mostly consist of english-like statement.
So, Erik would primarily be writing source code when performing his daily tasks since his daily task require high level of computer programming and internet knowledge.
Answer:
\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\
Explanation:
It is easy to understand. Algorithm is a step-wise representation of a solution to a given problem. In Algorithm the problem is broken down into smaller pieces or steps hence, it is easier for the programmer to convert it into an actual program
Algorithms are time-consuming. Big tasks are difficult to put in algorithms. Difficult to show branching and looping in algorithms. Understanding complex logic through algorithms can be very difficult.
Answer:
c. Using the Data Refinery tool
Explanation:
Data wrangling and tidying in Data Science is the process whereby data to be analysed is obtained, cleaned and arranged before it is analysed in the environment.
Since Watson Studio happens to be an IBM premier integrated development environment for data science and artificial intelligence practitioners, there is need for them to have data softwares to make data scientists practitioners' works easier.
<em>In this scenario, the best tools to aid in tidying data in the Watson studio would be the use of </em><u><em>Data Refinery Tool.</em></u>
UDP = connectionless vs. TCP is connection oriented.
