Answer:
B) A block of statement that might cause an exception.
Explanation:
Exception handling is a good programming technique that prevents our program from crashing when an exception occurs during execution. The try clause is used with a catch to handle any exception that might occur, so whenever a statement that might cause an exception is to be used, this should be contained in a try statement block of code.
Answer: >>> for count in range(10, 14):
print(count)
Explanation:
just took the test on edg
Answer:
I'll happy to help
Explanation:
Please make your clear. I couldn't understand!
Answer:
A lot of people have claimed that they lost their full-established accounts after using LinkedIn automation tools. LinkedIn detected the activity and blocked their accounts.
But it’s not the tool that causes spam, it’s the approach you adopt while using these tools.
Many people think that LinkedIn automation tools(LinkedCamp) can generate leads magically over the night. They send thousands of connection requests and messages using automation and as a result, LinkedIn detects their activity. This is not how it works. You need a proper strategy to leverage the potential of these tools. Even the best LinkedIn automation tools cannot guarantee success if you try to overdo the activities.
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
