A functional dependency describes a relationship between the attributes of an entity such that the value of one attribute is dependent on the value of some other attribute and is very well affected by it.
There can be various sources of information that define functional dependency. For instance, an attribute age can define the functional dependency with the attribute ID. One cannot include the voter ID if they are not above 18 years of age.
Similarly, the attribute date of joining can define the functional dependency with the attribute experience, as the experience in a particular organization can be calculated by subtracting the joining date fro the current date.
Answer:
Many occupations use mathematics, even if it is not the primary focus of a given job.
Explanation:
Think about software developers, they develop apps, websites, and other things, but they also use math in the process. Scientists use statistics. Mechanics use math to make sure their measurements are right. Therefore, I think your best bet would be
A. Many occupations use mathematics, even if it not the primary focus of a given job.
Answer:
def analyze_text(sentence):
count = 0
e_count = 0
for s in sentence:
s = s.lower()
if s.isalpha():
count += 1
if s == "e":
e_count += 1
return "The text contains " + str(count) + " alphabetic characters, of which " + str(e_count) + " (" + str(e_count*100/count) + "%) are ‘e’."
Explanation:
Create a function called analyze_text takes a string, sentence
Initialize the count and e_count variables as 0
Create a for loop that iterates through the sentence
Inside the loop, convert all letters to lowercase using lower() function. Check each character. If a character is a letter, increment the count by 1. If a character is "e", increment the e_count by 1.
Return the count and e_count in required format
<h3>Answer(:</h3>
•concatenation
• scanning
• substringing
• translation
• verification
<h3>if you want to remember means csstv;-)</h3>
