Super Data Science: ML & AI Podcast with Jon Krohn 826: In Case You Missed It in September 2024
Oct 11, 2024
Julia Silge, Engineering Manager at Posit, shares insights on the development of Positron, an IDE designed specifically for data scientists' unique coding needs. Luca Anichin offers tips on enhancing machine learning models in PyTorch, stressing the balance between model and data. Marco Garelli discusses Polars, an open-source library that significantly speeds up data manipulation compared to Pandas. Mark Weissman highlights essential traits for data scientist hiring, advocating for practical skills over traditional qualifications.
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Data Science IDE
- Posit is developing Positron, a data-science specific IDE.
- It addresses the limitations of general-purpose IDEs for data scientists.
Polyglot IDE
- Positron is designed to be a polyglot IDE, supporting multiple languages.
- This caters to data scientists who often use a variety of languages in their work.
Exploratory Coding
- Data scientists need IDEs with fewer guardrails due to their exploratory coding process.
- Their work differs from traditional software developers who follow strict specifications.