Wikipedia is the digital encyclopedia that we use daily to find out facts and information. What could be better than being able to extract the extreme wealth of crowd-sourced knowledge from Wikipedia without using traditional web scrapers? Various community-driven projects extract knowledge from Wikipedia and stores them structurally, retrievable using SPARQL. It can be used to mine data for a range of Data Science projects. In this talk, I will walk through the basics of the Open Web and how to use Python to use this huge open database. The agenda includes the following: • Why Wikipedia? • Introduction to DBpedia and Wikidata • Introduction to Linked Data • How to query DBpedia/WikiData o Build SPARQL Query o Use Python’s SPARQLWrapper • Python Code Walkthrough to create o A Tabular Dataset using SPARQL o A Corpus for Language Models using Wikipedia and BeautifulSoup o An Use-Case leveraging both SPARQLWrapper and Wikipedia to Create Domain-Specific Corpus Prerequisites – Basic knowledge of Python programming, Natural Language Processing, and SQL