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Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.\n\nThis episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email\xa0natalie@superdatascience.com\xa0for sponsorship information.\n\nIn this episode you will learn:\n\u2022 Overview of Posit and Positron IDE [05:20]\n\u2022 How the needs of a data scientist differ from those of a software developer [10:54]\n\u2022 How to contribute to the open-source Positron [19:50]\n\u2022 MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]\n\u2022 Natural Language Processing (NLP) and the Tidyverse approach [50:34]\n\u2022 The role of AI and LLMs in data science education [1:24:18]\n\nAdditional materials:\xa0www.superdatascience.com/817