Write a Python program that reads a text file. The program should:

1. Extract all words and convert them to lowercase.

2. Store the words in a list.

3. Use a dictionary to group the words by their first letter.

4. Print the letter(s) and the associated words that correspond to the largest number of words. 

Example of the text file:

Artificial intelligence and algorithms are advancing quickly.

Example of code execution:

Define and test a function myRange. This function should behave like Python’s standard range function, with the required and optional arguments, but it should return a list. Do not use the range function in your implementation! (Hints: Study Python’s help on range to determine the names, positions, and what to do with your function’s parameters. Use a default value of None for the two optional parameters. If these parameters both equal None, then the function has been called with just the stop value. If just the third parameter equals None, then the function has been called with a start value as well. Thus, the first part of the function’s code establishes what the values of the parameters are or should be. The rest of the code uses those values to build a list by counting up or down.)

Test your code with the following examples and ensure you get the same results:

print(myRange(5))          

 [0, 1, 2, 3, 4]

print(myRange(2, 5))      

[2, 3, 4]

print(myRange(2, 10, 3)) 

[2, 5, 8]

print(myRange(5, 2, -1))   

 [5, 4, 3]

print(myRange(5, 2, 1))    

[]

Write a function rmsFunction(data,t), where data is a list of strings numbers, and t is a threshold. In the function, you should do the following

1) Map the data to floats.

2) Filter to keep only the  values that are greater than or equal to the threshold t. The threshold is set to 0 if not provided by the user.  If no values pass the filter, return None. 

3) Reduce the filtered numbers to compute the root-mean-square (RMS):

Test your code with the following examples:

data = ["3.5", "-2", "0", "4.0", "1.2", "5.3", "-0.7", "2.8"]

#Test 1

t = 2

print(rmsFunction(data,t))

4.0056210504739465

#Test 2

print(rmsFunction(data))

3.307063148273203

#Test 3

t = 10

print(rmsFunction(data,t))

None

Write a script that has

1)  a function sinEstimate(x,N) that estimates the sin of x using the equation below. If N is not provided, then set it be default to 10. 

2) a  main() function to calculate the error between sinEstimate(x,N) and the build sin(x) from the math module. 

Examples (in the main() function):

# Example 1

print("The absolute error of estimating sinEstimate(pi) is:", abs(sinEstimate(pi)-sin(pi)))

The absolute error of estimating sinEstimate(pi) is: 1.0348063438373582e-11

# Example 2

 print("The absolute error of estimating sinEstimate(pi,5) is:", abs(sinEstimate(pi,5)-sin(pi)))

The absolute error of estimating sinEstimate(pi,5) is: 0.00044516023820933523

submissions = [7, 9, 5, 10, 8]
print(submissions[2])

What is displayed when it runs?

states = ["Alaska", "Hawaii", "Florida", "Maine"]

i = 0

________________________

temp = states[j]

states[j] = states[0]

states[i] = temp

grades = {"Alice": 85, "Bob": 92, "Charlie": 78}

grades["Diana"] = 88

print(len(grades))

What is the output when this code is executed?

team_a = [1, 2, 3, 4, 5]

team_b = [5, 4, 3, 2, 1]

if team_a == team_b:

    print("Results are the same")

else:

    print("Results are different")

What will be printed when this code is executed?

fruit_colors = {"Apple": "Green", "Banana": "Yellow"}

fruit_colors["Apple"] = "Red"

What is the value of fruit_colors after this code is executed?