Philip Blair - Dealing With Names and Addresses Around the World | PyData Amsterdam 2024

Описание: www.pydata.org

Data scientists and app developers today must deal with data coming from different regions around the world. Whether handling signup form data, scraping news articles, or building LLM pipelines, one of the most common types of unstructured text data seen today are names of people and addresses; however, conventions for how these are written are completely different depending on their country of origin. In this talk, intended for data scientists and non-technical stakeholders alike, I will provide an introduction to what these types of data can look like, a number of misconceptions about what they do or don't contain, and some examples for how to work with them.

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