Ab initio metadata portal mhub etl tool connection to python java r

The task is to solve the given Python question, which involves manipulating a string. The input is a string containing various words separated by spaces. The goal is to extract the unique words from the input string and sort them in alphabetical order. The output should be a sorted list of unique words.

Option 1: Using Python’s built-in functions


input_string = "Ab initio metadata portal mhub etl tool connection to python java r"

# Split the input string into a list of words
words = input_string.split()

# Remove duplicates by converting the list to a set and then back to a list
unique_words = list(set(words))

# Sort the list of unique words in alphabetical order
sorted_words = sorted(unique_words)

print(sorted_words)

In this solution, we first split the input string into a list of words using the split() function. Then, we convert the list to a set to remove duplicates. Finally, we convert the set back to a list and sort it using the sorted() function. The sorted list of unique words is then printed as the output.

Option 2: Using a dictionary to track unique words


input_string = "Ab initio metadata portal mhub etl tool connection to python java r"

# Split the input string into a list of words
words = input_string.split()

# Create an empty dictionary to track unique words
unique_words_dict = {}

# Iterate over the list of words
for word in words:
    # Add each word as a key in the dictionary with a value of 1
    unique_words_dict[word] = 1

# Get the keys (unique words) from the dictionary and sort them
sorted_words = sorted(unique_words_dict.keys())

print(sorted_words)

In this solution, we split the input string into a list of words and create an empty dictionary to track unique words. We iterate over the list of words and add each word as a key in the dictionary with a value of 1. Since dictionaries cannot have duplicate keys, this effectively removes duplicates. Finally, we get the keys (unique words) from the dictionary, sort them, and print the sorted list as the output.

Option 3: Using a set to track unique words


input_string = "Ab initio metadata portal mhub etl tool connection to python java r"

# Split the input string into a list of words
words = input_string.split()

# Create an empty set to track unique words
unique_words_set = set()

# Iterate over the list of words
for word in words:
    # Add each word to the set
    unique_words_set.add(word)

# Convert the set to a sorted list
sorted_words = sorted(unique_words_set)

print(sorted_words)

In this solution, we split the input string into a list of words and create an empty set to track unique words. We iterate over the list of words and add each word to the set. Since sets cannot have duplicate elements, this effectively removes duplicates. Finally, we convert the set to a sorted list and print the sorted list as the output.

Among the three options, Option 1 using Python’s built-in functions is the most concise and efficient solution. It leverages the set data structure to remove duplicates and the sorted() function to sort the unique words. This approach has a time complexity of O(n log n), where n is the number of words in the input string. Option 2 and Option 3 also provide correct solutions but involve additional steps and data structures, making them less optimal.

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12 Responses

  1. Option 3 is the way to go! Sets are like magical unicorns that make tracking unique words a breeze 🦄💨

    1. Sorry, but I have to disagree. Option 3 might be easy for tracking unique words, but its not practical when dealing with large datasets. Its like using a sledgehammer to crack a nut. Plus, not everyone wants to deal with magical unicorns. Different strokes for different folks!

    1. Oh please, sets are overrated. They may be good for tracking unique words, but they are not as versatile as other data structures. Dont get me wrong, they have their uses, but calling them magical unicorns is a bit of an exaggeration.

    1. I couldnt agree more! Option 2 definitely stands out as the ultimate dictionary for word enthusiasts. Its ability to track unique words is a game-changer. Count me in! 🙌🏼 Lets explore the world of language together!

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