Answer:
O DTP programs are basically layout programs.
Explanation:
Desktop publishers are vector-based graphics software, and a perfect example of one such software is Microsoft Publisher. You can consider Adobe Illustrator, and Corel Draw as well, but they are huge software meant for many more things, and hence let's include only Microsoft publisher. And a long list follows as well. And they are in general a layout program used to prepare cards, advertisements, infographics, etc, and in fact the layout for them. And hence its more appropriate to say that it is basically a layout program that uses vector graphics to accomplish its goal. Various formats supported are like SVG, EPS, PDF,AI etc. And these are vector graphics based formats. The other type is Raster, and that includes Photoshop etc, with formats iike jpeg, gif etc, and which are pixel based.
Answer: D
Explanation:
It is not A or C because the "d" in "Divide" is capitalized and the d is lowercase in calling the function. Therefore the answer is D (the last choice) because numA / numB (30 / 5) equals 6.
Answer: Steady OR Flashing
Explanation: If you are talking about the internet connection / power received lines One light should be Solid or "Steady" and the other usually green light will be flashing indicating that data is being transferred. Beware that just because the Orange light is Steady that does not mean that the internet is working that just means that it sees its connected.
Answer:
# the dog dataframe has been loaded as mpr
# select the dogs where Age is greater than 2
greater_than_2 = mpr [mpr. age > 2]
print(greater_than_2)
# select the dogs whose status is equal to 'still missing'
still_missing = mpr[mpr. status == 'Still Missing']
print(still_missing)
# select all dogs whose dog breed is not equal to Poodle
not_poodle = mpr [mpr.breed != 'Poodle']
print(not_poodle)
Explanation:
The pandas dataframe is a tabular data structure that holds data in rows and columns like a spreadsheet. It is used for statistical data analysis and visualization.
The three program statements above use python conditional statements and operators to retrieve rows matching a given value or condition.