Several different alkane fruits.
watermelon cantaloupe mango pears grapes passion fruit dried fruits like dates and apricots figs and raisins are also considered heavy alkaline foods apples, fresh apricots bananas berries and avocados.... list goes on.
Answer:
- common = []
- num1 = 8
- num2 = 24
- for i in range(1, num1 + 1):
- if(num1 % i == 0 and num2 % i == 0):
- common.append(i)
- print(common)
Explanation:
The solution is written in Python 3.
Firstly create a common list to hold a list of the common factor between 8 and 24 (Line 1).
Create two variables num1, and num2 and set 8 and 24 as their values, respectively (Line 3 - 4).
Create a for loop to traverse through the number from 1 to 8 and use modulus operator to check if num1 and num2 are divisible by current i value. If so the remainder of both num1%i and num2%i will be zero and the if block will run to append the current i value to common list (Line 6-8).
After the loop, print the common list and we shall get [1, 2, 4, 8]
Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
there's a chance the web server could quite possibly be backed up from all the requests and not being cleaned or updated often
