CaveAgent的核心思想很简单：与其让LLM费力地去“读”数据的文本快照，不如给它一个如果不手动重启、变量就永远“活着”的 Jupyter Kernel。 这项由香港科技大学（HKUST）领衔的研究，为我们展示了一种“Code as Action, State as Memory”的全新可能性。它解决了所有开发 ...

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I've worked as a SAS engineer for several years, but more recently, many of the projects I'm involved in have been migrating away from SAS to modern tools like Python, dbt, Snowflake, and Databricks.

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...