Southern Horrors â Lynch Law in All Its Phases by Ida B. The Little Prince, by Antoine de Saint-ExuperyĪ Pickle for the Knowing Ones by Timothy Dexter The Happy Prince, and Other Tales by Oscar Wilde The Importance of Being Earnest, A Trivial Comedy for Serious People by Oscar Wilde Frank BaumĪ Christmas Carol in Prose Being a Ghost Story of Christmas by Charles DickensĪliceâs Adventures in Wonderland by Lewis Carroll Narrative of the Life of Frederick Douglass, an American Slave by DouglassÄ«eowulf â An Anglo-Saxon Epic Poem by J. The Sign of the Four by Arthur Conan Doyle Tractatus Logico-Philosophicus by Ludwig Wittgenstein The Mysterious Affair at Styles by Agatha ChristieĪnd Then There Were None, a mystery novel by Agatha Christie The Kama Sutra of Vatsyayana by VatsyayanaĬalculus Made Easy by Silvanus P. The Hound of the Baskervilles by Arthur Conan Doyle The Awakening, and Selected Short Stories by Kate ChopinÄ«eyond Good and Evil by Friedrich Wilhelm Nietzsche The Ontario Readers â Third Book by Ontario. The Autobiography of Benjamin Franklin by Benjamin Franklin Treasure Island by Robert Louis Stevenson SalingerÄ«aron Trumpâs Marvellous Underground Journey by Ingersoll Lockwood The Adventures of Tom Sawyer by Mark Twain Meditations by Emperor of Rome Marcus Aurelius Harry Potter and the Sorcererâs Stone by J. The Picture of Dorian Gray by Oscar Wildeįrankenstein Or, The Modern Prometheus by Mary Wollstonecraft Shelley In this example, we will create a pair consisting of , 1) for each word element in the RDD.A pair RDD is an RDD where each element is a pair tuple (k, v) where k is the key and v is the value. The Secret Garden by Frances Hodgson Burnett The next step in writing our word counting program is to create a new type of RDD, called a pair RDD. This can also be done using str.len rather than apply which should scale better: In 41: count df ().str.len () count.index (str) words: count.sortindex (inplaceTrue) count Out 41: 0 words: 2 1 words: 1 2 words: 3 3 words: 4 4 words: 2 5 words: 1 Name: fruits, dtype: int64. The Scarlet Letter by Nathaniel Hawthorne Grimmsâ Fairy Tales by Jacob Grimm and Wilhelm GrimmĪ Journal of the Plague Year by Daniel Defoe Gulliverâs Travels into Several Remote Nations of the World by Jonathan Swift The Adventures of Sherlock Holmes by Arthur Conan Doyle Augustine by Bishop of Hippo Saint Augustine Thus Spake Zarathustra â A Book for All and None by Friedrich Wilhelm Nietzsche Walden, and On The Duty Of Civil Disobedience by Henry David ThoreauĪdventures of Huckleberry Finn by Mark Twain The Life and Adventures of Robinson Crusoe by Daniel Defoe On the Origin of Species By Means of Natural Selection by Charles Darwin Uncle Tomâs Cabin by Harriet Beecher Stowe The Girl with the Dragon Tattoo by Stieg Larsson Moby Dick Or, The Whale by Herman MelvilleĬrime and Punishment by Fyodor Dostoyevsky The Brothers Karamazov by Fyodor Dostoyevsky The Count of Monte Cristo by Alexandre DumasÄon Quixote by Miguel de Cervantes Saavedra The Lord of the Rings, the novel written by J. With an updated word count of popular, much-loved books, this is a useful aid for those who are learning and want to read them.Ä«elow we sum up the word count of the top 100 most popular favorite books, hoping to help you. It will help readers determine a reasonable length of time and a reading schedule for each book. So let's create a function which will count all the markdown cells within a Jupyter notebook's markdown cells.If you are a book lover, you will probably be interested in the number of words (length) of the book many times. Output cells contain the output from the code cell that precedes it.Code cells contain runnable code through a runtime.Heading cells (denoted by #) allow for navigatable headings.Markdown cells contain the written explanation or notes around some code.Cells can be either be markdown, heading, code or output cells. When working with Jupyter notebooks, everything is broken into 'cells'. This means that the tool we've just created won't capture any of the Jupyter notebooks within the folder, this will not stand! This post has been written in a Jupyter notebook, these files (.ipynb) are formatted at the base level as json files. In comparison, my engineering thesis for graduating university was 9916 words across 69 pages. There you have it! 31380 words across all the markdown files. sub ( r '*\.', '', text ) return len ( text. sub ( r '\*\]', '', text ) # Remove enumerations text = re. sub ( r '', '', text ) # Remove footnote references text = re. sub ( r ']*>', '', text ) # Remove special characters text = re. sub ( r '', '', text ) # Remove images text = re. replace ( ' \t ', ' ' ) # More than 1 space to 4 spaces text = re. MULTILINE ) # Tabs to spaces text = text. # Source: def count_words_in_markdown ( filePath : str ): with open ( filePath, 'r', encoding = 'utf8' ) as f : text = f.
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