Showing posts with label Data Preparation. Show all posts
Showing posts with label Data Preparation. Show all posts

Saturday, August 24, 2024

Filtering Words by Length from Nested Sentence Lists in Python

You need to extract words from a list of sentences and filter them based on their length. Specifically, you want to create a list of words that are shorter than or equal to a given length limit, which the user will provide as input.To solve this problem:

1. Data Preparation:
   - You start with a list of lists, where each sublist contains words from different sentences.

2. Input Handling:
   - You prompt the user to enter a length limit for filtering the words.

3. Flattening the List:
   - You flatten the nested list structure into a single list that contains all the words from all the sentences. This is done to make it easier to process each word individually.

4. Filtering Words:
   - You iterate through the flattened list of words and check the length of each word.
   - If the length of a word is less than or equal to the specified limit, you add that word to a new list.

5. Output:
   - Finally, you print the list of filtered words.

The approach ensures that only words meeting the length criterion are included in the final list, making it straightforward to analyze or process these filtered words further.


Featured Post

How HMT Watches Lost the Time: A Deep Dive into Disruptive Innovation Blindness in Indian Manufacturing

The Rise and Fall of HMT Watches: A Story of Brand Dominance and Disruptive Innovation Blindness The Rise and Fal...

Popular Posts