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12min chapter
817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge
Super Data Science: ML & AI Podcast with Jon Krohn
Enhancing Data Science Workflows with Positron
This chapter explores the development of Positron, particularly its integration with code-OSS and the Jupyter protocol, while arguing for deeper integration over simple add-ons for data science effectiveness. It discusses expanding the IDE's support for programming languages like SQL, highlighting its potential for reporting and visualization. Additionally, the chapter examines MLOps practices and the integration of machine learning tools, emphasizing versioning, deployment strategies, and user choices in LLMs to improve the overall user experience.
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