Using the APA style or the<span> American Psychological Association style of referencing or citing sources, the structure for website reference is as follows:
</span>Last, F. M. (Year, Month Date Published). Article title<span>. Retrieved from URL. Hence, for the problem:
</span>Last, F. M. (Year, Month Date Published). Article title<span>. Retrieved from http://www.asha.org</span>
Answer:
The term Myriad means an indefinitely large number of things. And when we say Myriad of data, we mean an indefinitely large amount of data like in Petabytes.
Explanation:
What it does implies is that you are dealing with a large amount of data. And hence we are dealing with something like bigData. And hence, technologies related to BigData are going to operate. And this term is used as a noun as well as an adjective when we talk about English. And hence, you can use it with "a" or without the "a" as well. It has been a part of reputable English and has been repeatedly used by top authors like Milton.
<span>The correct answer is higher for both blank spaces.
We all know the famous saying: "No risk, no reward". What is true is the higher your risk you also have a higher degree of reaping a higher rewards. But the opposite is also true, the more you risk the more you stand to lose. In stockbroker business this is best exemplified, as you can se brokers trying to predict the stock market in order to make greater profits. Gambling is also the good example of this. </span>
Answer:
1.word = "George slew the dragon"
startIndex = word.find('dr')
endIndex = startIndex + 4
drWord = word[startIndex:endIndex]
2. sentence = "Broccoli is delicious."
sentence_list = sentence.split(" ")
firstWord = sentence_list[0]
Explanation:
The above snippet is written in Python 3.
1. word is initialized to a sentence.
Then we find the the occurence of 'dr' in the sentence which is assign to startIndex
We then add 4 to the startIndex and assign it to endIndex. 4 is added because we need a length of 4
We then use string slicing method to create a substring from the startIndex to endIndex which is assigned to drWord.
2. A string is assigned to sentence. Then we split the sentence using sentence.split(" "). We split based on the spacing. The inbuilt function of split returns a list. The first element in the list is assigned to firstWord. List uses zero based index counting. So. firstWord = sentence_list[0] is use to get first element.