Analyzing Hacker News book suggestions in Python

A way to solve this could be to use fuzzy matching in this step.ConclusionsIn conclusion in this article I have showed how I extracted data from Hacker News, parsed it to extract book titles, checked them using the Goodreads API and matched the final list with the original text..The task proved to be quite complex as it required several assumptions and dealing with two different APIs..Moreover the final result still had some incorrect results.Nonetheless I managed to get a good final result..This is the list of the top 20 books recommended by Hacker News:Bad Blood: Secrets and Lies in a Silicon by Valley John CarreyrouWhy We Sleep: Unlocking the Power of Sleep by Matthew WalkerThe Magicians by Lev GrossmanShoe Dog: A Memoir by the Creator of NIKE by Phil KnightHow to Change Your Mind by Michael PollanFactfulness: Ten Reasons We’re Wrong About the World by Hans RoslingMan’s Search for Meaning by Viktor E..FranklDeep Work by Cal NewportHomo Deus: A Brief History of Tomorrow by Yuval Noah HarariThe Phoenix Project by D.M..Cain21 Lessons for the 21st Century by Yuval Noah HarariThinking in Systems: A Primer by Tia T..FarmerLeonardo da Vinci by Walter IsaacsonNever Split the Difference by Chris VossExtreme Ownership by Jocko WillinkLinear Algebra by Jim Hefferon12 Rules for Life: An Antidote to Chaos by Jordan B..PetersonPrisoners of Geography by Tim MarshallSkin in the Game by Nassim Nicholas TalebAtomic Habits by James ClearThe source can be viewed on Github.Comments or criticism of any type would be really appreciated.. More details

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