![]() ![]() As it turns out, you can nest list comprehensions within other list comprehensions to further reduce your code and make it easier to read still. In a recent article I showed you how to do this using list comprehensions. Number of words with three or more syllables. One of the main methods of making Python code more readable comes from collapsing multiple lines of code into a single line. Number of words not on Dale-Chall list of words understood by 80% of 4th graders. # Return dictionary of all attribute values. Python package to calculate the Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall readability indices. # Return dictionary of readability scores. flesch_score 114.11500000000001 # Return dictionary of character/word/syllable counts. ![]() of images and convert them on-the-fly into readable digital publications. sent_count 2 # Return Flesch Reading Ease score. The visuals are sharp and clear, the musics great, the level design is varied. There was a queen with a plain face.' > s = Textatistic ( text ) # Return sentence count. > text = 'There was a king with a large jaw. Quickstart > from textatistic import Textatistic # Generate object of readability statistics. For the first question, you can specify your file to be in any directory, just give it the full path: 'F:\Level1\Level2\Resultsreadability.txt' or a relative path '.\Other\Resultsreadibilty.txt'. Installation $ pip install textatistic DocumentationÄetailed documentation available at. Textatistic also contains functions to count the number of sentences, characters, syllables, words, words with three or more syllables and words on an expanded Dale-Chall list of easy words. Textatistic is a Python package to calculate the Flesch Reading Ease, Flesch-Kincaid, Gunning Fog, Simple Measure of Gobbledygook (SMOG) and Dale-Chall readability indices. ![]()
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