I believe that the answer to the question provided above is that with the age of improving technology, the aspects of future games will be based more unto electronic games or e-games.
Hope my answer would be a great help for you. If you have more questions feel free to ask here at Brainly.
National FFA is the answer to your question my guy.
Using the computer language in python to write a function code that personalized house signs
<h3>Writting the code in python:</h3>
<em>#Assign varibles</em>
<em>charge = 0.00</em>
<em>numChars = 8</em>
<em>color = "gold"</em>
<em>woodType = "oak"</em>
<em />
<em>#Checking for number of characters</em>
<em>if numChars > 5:</em>
<em>charge = 35 + (numChars-5)*4</em>
<em>elif numChars > 0:</em>
<em>charge = 35</em>
<em />
<em>#Checking wood type</em>
<em>if woodType == "oak":</em>
<em>charge += 20</em>
<em />
<em>#Checking for color</em>
<em>if color == "gold":</em>
<em>charge += 15</em>
<em />
<em>#Print output</em>
<em>print("The charge for this sign is $"+str(charge)+".")</em>
See more about python at brainly.com/question/13437928
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Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
You can carfully wedge something in between the key and gently pull up
