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Question 1:

Finder program

# Dict, list, queue

# directory --- os.walk()

list1 = [c:, d:, e:]

dict1 = {}

def func(drive)

resp = os.walk(drive)

statem1

st

dict1[file] = path

for drive in list1:

#th1 = Thread(target= func(drive))

#th1.start()

func(drive)

# apply join

finding total time of execution #

dict ---> pickle

Please help me to get the solution for this

Company ABC is dealing with big data and they want to compress data because one of the most crucial steps for the Company is towards efficient data protection, lossless and speedy transfer over the network at less cost So your main job being an ML Engineer is to choose a compression technique from available two options (Fixed Length vs Variable-Length) given to you by the Company. Keep in mind all the important parameters while deciding about a compression.


Create an array of 20 entries.
search these entries by different algorithms.

Scenario

In computer networking two versions of IP address are used i.e., IPv4 and IPv6. What is your point of view, will IPv6 totally replace IPv4 or IPv4 will co-exist with IPv6? Justify your opinion with two solid reasons.

Note: Format of your answer should be as follow:

Your Opinion (Yes/No):

 Reason 1:

 Reason 2:


Number of digits until N

Given an integer 

N, write a program that prints the count of the total number of digits between 1 and N.

Input

The input is a positive integer.

Output

The output should be a single line containing the count of the digits up to the given number.

Explanation

Given 

N = 10

From 1 to 9, each number contains a single digit. From 10 onwards, the numbers contain two digits.

So the output should be 9 + 2 = 

11.

Sample Input 1
10
Sample Output 1
11
Sample Input 2
4
Sample Output 2
4

sample input 3
1000
sample output3
2893





Suppose, there is a legacy system utilizing the Von Neumann architecture for the past twenty years of sales forecast. But due to the increasing amount of data and processing requirements, the Von Neumann Bottleneck has reduced the overall system’s performance. Among the many ways, you need to select either “in-memory processing” or providing a “cache” between the processor and main memory to overcome the Von Neumann bottleneck. The factors to be considered are cost, floating point operations, and scalability.

Your selection must be supported by logical arguments.


Difference between radix complement and diminished radix complement



Different types of Java platforms and their use


What is the difference between static and dynamic and enterprise web application


Explain complement arithmetic in the number system and state it's significance in the computation


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